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how generative ai works 

Explore the power of generative AI—how it learns, creates, and transforms work by automating tasks, enhancing creativity, and driving innovation.

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 <li style="color: blue; text-decoration: underline">
 What Is Generative AI?
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 How Generative AI Works?
 
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 Generative AI Training Enables Gen AI to Function Effectively
 
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 Generative AI Use Cases at Work
 
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 Wrap Up
 
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 </ol></div>No doubt, generative AI is making its place in every space—whether it’s generating ideas, designing graphics, writing codes, texts, or even generating video. But have you ever thought about how this generative AI works and how it gets trained to give desired results?&nbsp; And what are the use cases of generative AI at a professional place?If yes, this blog is for you as here we break down everything you need to know behind the magic of Gen AI.&nbsp; But before that let's briefly understand what is Generative AI?&nbsp;<div class="raw-html-embed"><div>
 
 
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 </div></div><h2 style="text-align:justify;">What Is Generative AI?</h2>Generative AI is a branch of artificial intelligence that creates new content—from text to images, audio, and video—using data and complex algorithms. In simple terms, it’s a system that “learns” from a vast amount of information and then uses that knowledge to generate something new and unique.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2 style="text-align:justify;">How Generative AI Works?</h2>At the heart of&nbsp;<a href="https://glance.com/id-ID/articles/news-on-glance-revolutionizing-how-we-consume-news-on-our-lock-screens">generative AI</a> are neural networks and deep learning models. Think of neural networks as a simplified version of your brain: they consist of layers of interconnected “neurons” that process and analyze input data to recognize patterns.&nbsp;Just as your brain learns to recognize a friend’s face over time, these networks learn from data to generate coherent outputs.<h3 style="text-align:justify;">The Step-by-Step Process</h3>Input Data: The process begins with feeding the AI system a vast dataset. This data might include texts, images, audio clips, or videos. Processing: The AI then processes this information through multiple layers of neural networks. Each layer extracts different features or patterns from the data, gradually building up a complex understanding of the underlying structure. Output Creation: After processing, the AI uses what it has learned to create new content. The result is a generated text, image, or other media that mimics the patterns found in the input data.For Instance: You visit ChatGPT, type in whatever comes to your mind—whether it's a curious question about your favorite hobby, a request for creative writing, or simply a thought you'd like to explore. Almost instantly, ChatGPT responds with a well-crafted answer that not only addresses your query but often inspires further ideas. This simple interaction is a perfect example of generative AI at work.How does it happen?<ul><li>Input: Your spontaneous query acts as the input data.</li><li>Processing: ChatGPT, powered by advanced neural networks, processes your words, identifies patterns, and draws upon vast amounts of training data.</li><li>Output: In response, it generates a tailored answer, emulating human-like conversation.</li></ul><div class="raw-html-embed"><div>
 
 
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 </div></div><h2 style="text-align:justify;">Generative AI Training Enables Gen AI to Function Effectively</h2>Training is the process that teaches an AI system to generate new content. It’s not as mysterious as it sounds—in fact, it follows a well-defined path much like how you might learn a new skill.<h3 style="text-align:justify;">What Is Training in AI?</h3>Training in AI involves using large datasets to help the model understand patterns, context, and structure within data. This process enables the AI to learn how to “think” in ways that allow it to generate creative outputs.<h3 style="text-align:justify;">The Stages of Training</h3>Data Collection: The first step in training generative AI is gathering diverse and comprehensive datasets. The more varied and extensive the dataset, the better the AI becomes at understanding the nuances of different types of content. Pre-Training: Once the data is collected, the AI undergoes pre-training. During this phase, the system learns basic language, imagery, or audio patterns without any fine-tuning for specific tasks. It’s a bit like learning the alphabet before writing full sentences. Fine-Tuning: After pre-training, the AI is fine-tuned on specific tasks or domains. For example, a model might be tailored to generate marketing copy or design graphics by focusing on a subset of data that represents that field. This fine-tuning helps improve accuracy and relevance in the outputs.You will be amazed to know that millions of data points come together during these training stages to create outputs that are not only creative but also contextually accurate. How do you think these countless data points are woven into creative outputs? It’s through this rigorous training process that AI can transform a mountain of information into something strikingly original.Understanding the training process brings us to one of the most exciting parts—how this technology is applied in the workplace.&nbsp;<div class="raw-html-embed"><div>
 
 
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 </div></div><h2 style="text-align:justify;">Generative AI Use Cases at Work</h2>Generative AI is a game-changer in modern work environments. Its ability to create content, automate repetitive tasks, and drive innovation is reshaping industries across the board.<h3 style="text-align:justify;">Content Creation &amp; Marketing</h3>Imagine having an assistant that can craft compelling blog posts, social media updates, or even marketing slogans at the drop of a hat. Generative AI makes that possible. By analyzing trends and understanding audience engagement, AI can produce content that resonates with readers and drives interaction.<h3 style="text-align:justify;">Customer Service &amp; Automation</h3>Customer service is another area experiencing a revolution thanks to generative AI. Chatbots and virtual assistants powered by this technology can handle customer queries 24/7, providing quick, personalized responses that enhance customer satisfaction. These tools learn from every interaction, improving over time to better meet your needs.<h3 style="text-align:justify;">Design &amp; Innovation</h3>Generative AI is also a creative partner. It assists in generating innovative ideas, optimizing design prototypes, and even predicting market trends. For instance, tools like&nbsp;Amazon’s Nova Website SDK helps companies leverage AI to drive digital innovation.&nbsp;<h3 style="text-align:justify;">Ecommerce and Fashion</h3>In the ecommerce and fashion industry, generative AI is revolutionizing trend forecasting and outfit selection. For example, <a href="https://glance.com/id-ID">Glance</a> leverages AI styling to provide personalized recommendations, helping you decide whether an outfit is worth purchasing while predicting emerging fashion trends.But what does the future hold for AI in the workplace? Let’s take a look.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2 style="text-align:justify;">Wrap Up</h2>Generative AI is an innovative technology that creates content by learning from vast amounts of data—from text to images and beyond. It transforms raw data into innovative outputs through a detailed training process, paving the way for smarter automation, personalized experiences, and groundbreaking creativity at work.&nbsp;<a href="https://glance.com/id-ID/help/using-glance/how-to-enable-glance-on-lock-screen" target="_blank" rel="noopener noreferrer">Embrace this technology</a> as a tool that not only elevates your productivity but also opens new avenues for creative expression in the digital age. &nbsp;

Jelajahi kekuatan AI generatif—bagaimana ia belajar, menciptakan, dan mengubah pekerjaan dengan mengotomatiskan tugas, meningkatkan kreativitas, dan mendorong inovasi.

Tidak bisa dipungkiri, generative AI kini mulai merambah ke berbagai bidang—mulai dari menciptakan ide, mendesain grafis, menulis kode dan teks, hingga menghasilkan video. Tapi, pernahkah kamu bertanya-tanya bagaimana sebenarnya generative AI bekerja dan bagaimana teknologi ini dilatih untuk menghasilkan output yang sesuai dengan keinginan kita? Dan seperti apa penerapan generative AI di lingkungan profesional?&nbsp;Kalau iya, blog ini cocok buat kamu. Di sini, kita akan membahas secara lengkap tentang ‘keajaiban’ di balik Gen AI. Tapi sebelum itu, yuk pahami dulu secara singkat: Apa Itu Generative AI?&nbsp;&nbsp;<h2 style="margin-left:0px;">Apa Itu Generative AI?&nbsp;</h2>Generative AI adalah cabang dari kecerdasan buatan (AI) yang mampu menciptakan konten baru—baik berupa teks, gambar, audio, maupun video—dengan memanfaatkan data dan algoritma yang kompleks. Sederhananya, ini adalah sistem yang “belajar” dari sejumlah besar informasi, lalu menggunakan pemahaman tersebut untuk menghasilkan sesuatu yang benar-benar baru dan unik.&nbsp;&nbsp;<h2 style="margin-left:0px;">Bagaimana Cara Kerja Generative AI?&nbsp;</h2>Inti dari <a href="https://glance.com/id/articles/news-on-glance-revolutionizing-how-we-consume-news-on-our-lock-screens">generative AI</a> adalah jaringan saraf (neural networks) dan model deep learning. Bayangkan jaringan saraf seperti versi sederhana dari otak manusia: terdiri dari lapisan-lapisan “neuron” yang saling terhubung dan bekerja sama untuk memproses data serta mengenali pola.&nbsp;Sama seperti otak kita yang bisa mengenali wajah teman setelah sering bertemu, AI ini juga belajar dari data agar bisa menghasilkan output yang masuk akal dan relevan.&nbsp;&nbsp;<h3 style="margin-left:0px;">Proses Kerja Langkah demi Langkah:&nbsp;</h3>1.Input Data&nbsp; Proses dimulai dengan “memberi makan” AI menggunakan kumpulan data dalam jumlah besar. Bisa berupa teks, gambar, audio, atau video.&nbsp;2.Pemrosesan&nbsp; AI kemudian memproses informasi tersebut melalui berbagai lapisan jaringan saraf. Setiap lapisan mengekstraksi fitur atau pola tertentu dari data, hingga akhirnya memahami struktur yang lebih kompleks.&nbsp;3. Pembuatan Output&nbsp; Setelah diproses, AI akan menciptakan konten baru berdasarkan apa yang telah dipelajari. Hasilnya bisa berupa teks, gambar, atau media lain yang menyerupai pola yang terdapat di data input.&nbsp;Contohnya: Saat kamu mengunjungi ChatGPT dan mengetik pertanyaan—entah soal hobi, tulisan kreatif, atau hal yang ingin kamu eksplor—ChatGPT langsung merespons dengan jawaban yang rapi, jelas, dan kadang bahkan memberi inspirasi lebih lanjut. Interaksi sederhana ini adalah contoh nyata generative AI dalam aksi.&nbsp;<h3 style="margin-left:0px;">Bagaimana prosesnya?&nbsp;</h3>Input: Pertanyaanmu menjadi data input.&nbsp;Processing: ChatGPT, dengan teknologi neural network canggih, menganalisis kata-katamu, mengenali pola, dan mengacu pada data latihannya.&nbsp;Output: Sistem ini lalu menghasilkan jawaban yang relevan dan terasa seperti percakapan manusia.&nbsp;&nbsp;<h2 style="margin-left:0px;">Pelatihan Generative AI: Kunci Efektivitas Gen AI&nbsp;</h2>Pelatihan adalah proses yang memungkinkan AI untuk menghasilkan konten baru. Meskipun terdengar rumit, proses ini cukup logis—mirip seperti ketika kita belajar keterampilan baru.&nbsp;<h2 style="margin-left:0px;">Apa Itu Pelatihan dalam AI?</h2>&nbsp; Pelatihan dalam konteks AI adalah proses memberikan data dalam jumlah besar agar model bisa memahami pola, konteks, dan struktur dalam data tersebut. Dengan proses ini, AI “belajar” bagaimana cara berpikir dan menghasilkan sesuatu yang kreatif.&nbsp;&nbsp;<h3 style="margin-left:0px;">Tahapan Pelatihan Generative AI&nbsp;</h3>1.Pengumpulan Data&nbsp; Langkah pertama adalah mengumpulkan data yang beragam dan menyeluruh. Semakin luas variasi datanya, semakin baik AI dalam memahami berbagai konteks dan jenis konten.&nbsp;2.Pre-Training (Pelatihan Awal)&nbsp; Setelah data terkumpul, AI menjalani pelatihan awal. Di tahap ini, sistem belajar memahami pola dasar dalam bahasa, gambar, atau audio, tanpa diarahkan untuk tugas tertentu. Ibaratnya seperti belajar alfabet sebelum bisa membuat kalimat.&nbsp;3.Fine-Tuning (Penyempurnaan)&nbsp; Setelah tahap awal, AI akan dilatih khusus sesuai dengan kebutuhan tertentu—misalnya untuk menulis iklan, membuat desain, atau konten pemasaran. Tahap ini meningkatkan ketepatan dan relevansi hasil yang dihasilkan.&nbsp;Tahukah kamu? Ada jutaan titik data yang diproses di setiap tahap pelatihan ini hingga AI mampu menghasilkan output yang tidak hanya kreatif tapi juga sesuai konteks. Dari lautan data, lahirlah hasil yang unik berkat proses pelatihan yang mendalam ini.&nbsp;<h2 style="margin-left:0px;">Penerapan Generative AI di Dunia Kerja&nbsp;</h2>Generative AI telah menjadi pengubah permainan (game-changer) di berbagai industri. Kemampuannya untuk menciptakan konten, mengotomatisasi pekerjaan berulang, dan mendorong inovasi membuat banyak perusahaan mulai mengadopsinya.&nbsp;1. Pembuatan Konten &amp; Pemasaran&nbsp;Bayangkan punya asisten yang bisa langsung menulis blog, caption media sosial, atau slogan pemasaran hanya dalam hitungan detik. Generative AI memungkinkan hal itu. Dengan memahami tren dan pola keterlibatan audiens, AI bisa menghasilkan konten yang menarik dan efektif.&nbsp;2. Layanan Pelanggan &amp; Otomatisasi&nbsp;Di bidang layanan pelanggan, AI seperti chatbot atau virtual assistant kini bisa melayani pertanyaan pelanggan 24/7. Respons yang diberikan bersifat personal, cepat, dan terus berkembang seiring waktu, meningkatkan pengalaman pelanggan secara keseluruhan.&nbsp;3. Desain &amp; Inovasi&nbsp;Generative AI juga menjadi mitra kreatif yang mampu membantu dalam menciptakan ide-ide baru, menyempurnakan prototype desain, dan bahkan memprediksi tren pasar. Contohnya, Amazon melalui Nova Website SDK menggunakan AI untuk mendorong inovasi digital.&nbsp;4. E-commerce &amp; Fashion&nbsp;Di industri e-commerce dan fashion, AI digunakan untuk memprediksi tren dan memberi saran outfit secara personal. Contohnya, <a href="https://glance.com/id">Glance</a> memanfaatkan teknologi AI styling untuk membantu pengguna memilih outfit dan menyesuaikannya dengan tren yang sedang naik daun.&nbsp;<h2 style="margin-left:0px;">Penutup&nbsp;</h2>Generative AI adalah teknologi inovatif yang menciptakan konten dengan mempelajari data dalam jumlah besar—baik berupa teks, gambar, suara, hingga video. Melalui proses pelatihan yang kompleks, teknologi ini mengubah data mentah menjadi sesuatu yang kreatif dan penuh makna.&nbsp;<a href="https://glance.com/id/help/using-glance/how-to-enable-glance-on-lock-screen">Teknologi ini bukan hanya alat untuk meningkatkan produktivitas</a>, tapi juga membuka ruang baru bagi ekspresi kreatif di era digital. Sudah saatnya kita mulai memanfaatkannya, bukan hanya sebagai pengguna pasif, tapi sebagai kreator aktif di dunia kerja modern.&nbsp;&nbsp;

AI Generatif: Cara Kerjanya, Proses Pelatihannya, dan Aplikasi di Tempat Kerja

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 <ol style="">
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 <li style="color: blue; text-decoration: underline">
 What Is Generative AI?
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 How Generative AI Works?
 
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 Generative AI Training Enables Gen AI to Function Effectively
 
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 Generative AI Use Cases at Work
 
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 Wrap Up
 
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 </ol></div>No doubt, generative AI is making its place in every space—whether it’s generating ideas, designing graphics, writing codes, texts, or even generating video. But have you ever thought about how this generative AI works and how it gets trained to give desired results?&nbsp; And what are the use cases of generative AI at a professional place?If yes, this blog is for you as here we break down everything you need to know behind the magic of Gen AI.&nbsp; But before that let's briefly understand what is Generative AI?&nbsp;<div class="raw-html-embed"><div>
 
 
 <a id="section1" style="position: absolute; top: -100px"></a>
 
 
 
 </div></div><h2 style="text-align:justify;">What Is Generative AI?</h2>Generative AI is a branch of artificial intelligence that creates new content—from text to images, audio, and video—using data and complex algorithms. In simple terms, it’s a system that “learns” from a vast amount of information and then uses that knowledge to generate something new and unique.<div class="raw-html-embed"><div>
 
 
 <a id="section2" style="position: absolute; top: -100px"></a>
 
 
 
 </div></div><h2 style="text-align:justify;">How Generative AI Works?</h2>At the heart of&nbsp;<a href="https://glance.com/blogs/glanceai/ai-trends/what-is-generative-ai-your-easy-to-understand-guide?utm_source=Glance&amp;utm_medium=external&amp;utm_campaign=Glance+India">generative AI</a> are neural networks and deep learning models. Think of neural networks as a simplified version of your brain: they consist of layers of interconnected “neurons” that process and analyze input data to recognize patterns.&nbsp;Just as your brain learns to recognize a friend’s face over time, these networks learn from data to generate coherent outputs.<h3 style="text-align:justify;">The Step-by-Step Process</h3>Input Data: The process begins with feeding the AI system a vast dataset. This data might include texts, images, audio clips, or videos. Processing: The AI then processes this information through multiple layers of neural networks. Each layer extracts different features or patterns from the data, gradually building up a complex understanding of the underlying structure. Output Creation: After processing, the AI uses what it has learned to create new content. The result is a generated text, image, or other media that mimics the patterns found in the input data.For Instance: You visit ChatGPT, type in whatever comes to your mind—whether it's a curious question about your favorite hobby, a request for creative writing, or simply a thought you'd like to explore. Almost instantly, ChatGPT responds with a well-crafted answer that not only addresses your query but often inspires further ideas. This simple interaction is a perfect example of generative AI at work.How does it happen?<ul><li>Input: Your spontaneous query acts as the input data.</li><li>Processing: ChatGPT, powered by advanced neural networks, processes your words, identifies patterns, and draws upon vast amounts of training data.</li><li>Output: In response, it generates a tailored answer, emulating human-like conversation.</li></ul><div class="raw-html-embed"><div>
 
 
 <a id="section3" style="position: absolute; top: -100px"></a>
 
 
 
 </div></div><h2 style="text-align:justify;">Generative AI Training Enables Gen AI to Function Effectively</h2>Training is the process that teaches an AI system to generate new content. It’s not as mysterious as it sounds—in fact, it follows a well-defined path much like how you might learn a new skill.<h3 style="text-align:justify;">What Is Training in AI?</h3>Training in AI involves using large datasets to help the model understand patterns, context, and structure within data. This process enables the AI to learn how to “think” in ways that allow it to generate creative outputs.<h3 style="text-align:justify;">The Stages of Training</h3>Data Collection: The first step in training generative AI is gathering diverse and comprehensive datasets. The more varied and extensive the dataset, the better the AI becomes at understanding the nuances of different types of content. Pre-Training: Once the data is collected, the AI undergoes pre-training. During this phase, the system learns basic language, imagery, or audio patterns without any fine-tuning for specific tasks. It’s a bit like learning the alphabet before writing full sentences. Fine-Tuning: After pre-training, the AI is fine-tuned on specific tasks or domains. For example, a model might be tailored to generate marketing copy or design graphics by focusing on a subset of data that represents that field. This fine-tuning helps improve accuracy and relevance in the outputs.You will be amazed to know that millions of data points come together during these training stages to create outputs that are not only creative but also contextually accurate. How do you think these countless data points are woven into creative outputs? It’s through this rigorous training process that AI can transform a mountain of information into something strikingly original.Understanding the training process brings us to one of the most exciting parts—how this technology is applied in the workplace.&nbsp;<div class="raw-html-embed"><div>
 
 
 <a id="section4" style="position: absolute; top: -100px"></a>
 
 
 
 </div></div><h2 style="text-align:justify;">Generative AI Use Cases at Work</h2>Generative AI is a game-changer in modern work environments. Its ability to create content, automate repetitive tasks, and drive innovation is reshaping industries across the board.<h3 style="text-align:justify;">Content Creation &amp; Marketing</h3>Imagine having an assistant that can craft compelling blog posts, social media updates, or even marketing slogans at the drop of a hat. Generative AI makes that possible. By analyzing trends and understanding audience engagement, AI can produce content that resonates with readers and drives interaction.<h3 style="text-align:justify;">Customer Service &amp; Automation</h3>Customer service is another area experiencing a revolution thanks to generative AI. Chatbots and virtual assistants powered by this technology can handle customer queries 24/7, providing quick, personalized responses that enhance customer satisfaction. These tools learn from every interaction, improving over time to better meet your needs.<h3 style="text-align:justify;">Design &amp; Innovation</h3>Generative AI is also a creative partner. It assists in generating innovative ideas, optimizing design prototypes, and even predicting market trends. For instance, tools like<a href="https://www.aboutamazon.com/news/innovation-at-amazon/amazon-nova-website-sdk" target="_blank" rel="noopener noreferrer">&nbsp;Amazon’s Nova Website SDK</a> helps companies leverage AI to drive digital innovation.&nbsp;<h3 style="text-align:justify;">Ecommerce and Fashion</h3>In the ecommerce and fashion industry, generative AI is revolutionizing trend forecasting and outfit selection. For example, <a href="https://glance.com/glanceai">Glance</a> leverages AI styling to provide personalized recommendations, helping you decide whether an outfit is worth purchasing while predicting emerging fashion trends.But what does the future hold for AI in the workplace? Let’s take a look.<div class="raw-html-embed"><div>
 
 
 <a id="section5" style="position: absolute; top: -100px"></a>
 
 
 
 </div></div><h2 style="text-align:justify;">Wrap Up</h2>Generative AI is an innovative technology that creates content by learning from vast amounts of data—from text to images and beyond. It transforms raw data into innovative outputs through a detailed training process, paving the way for smarter automation, personalized experiences, and groundbreaking creativity at work.&nbsp;Embrace this technology as a tool that not only elevates your productivity but also opens new avenues for creative expression in the digital age. &nbsp;

Generative AI: How It Works, Its Training Process, and Workplace Applications

ChatGPT, GPT, Siri, Grammarly.jpg

Is ChatGPT generative AI? What about Siri or Grammarly? Explore whether these popular AI tools Gen AI or not, their generative capabilities, and more.



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 Quick Reference Table: Are They Generative AI?
 
 
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</div>If you’ve been scrolling through social media and noticing those stunning Ghibli-inspired illustrations generated by AI, you’re not alone. Generative AI is making headlines, sparking curiosity and debate across the globe. And if you’re someone thought to dig deeper into it and learn about which tools fall into this category, you landed at the right place.&nbsp;In this blog, we will answer some questions often on everyone’s mind like “Is ChatGPT a generative AI?” or “Is Grammarly powered by generative AI?”. We’ll break down what each tool does, and help you understand how they differ when it comes to generative capabilities.<div class="raw-html-embed">
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</div><h2 style="text-align:justify;">Are They Generative AI? Let’s Break It Down</h2>Let’s start by looking at some popular AI tools that you probably use every day. Meanwhile, if you’re curious to know what generative AI is and how they differ from traditional AI&nbsp;Read: <a href="https://glance.com/id-ID/articles/best-ai-for-android">Best AI for Android: Your Digital Companion in Navigating the Complex Social Universe</a>&nbsp;<h3 style="text-align:justify;">ChatGPT – A Leading Gen AI</h3>Built on the GPT (Generative Pre-trained Transformer) architecture, it produces human-like text in response to your prompts. Whether you’re looking for creative writing assistance or need help with a customer query, ChatGPT generates original, context-aware content in real time. Its ability to adapt to various topics and produce coherent responses makes it a prime example of generative AI in action.<h3 style="text-align:justify;">GPT – The Engine Behind the Magic</h3>GPT refers to a family of models designed specifically for generating text. These models are trained on massive datasets and can produce creative, coherent, and contextually relevant outputs. When you use tools like ChatGPT, you’re tapping into the power of GPT, which is the backbone of modern generative AI technology.<h3 style="text-align:justify;">Grammarly – The Saviour Tool for Grammar Mistakes</h3>Grammarly has become the go-to assistant for catching typos, grammatical errors, and style inconsistencies. So, is Grammarly a Genai tool? Or Is Grammarly like ChatGPT? While Grammarly uses AI to analyze and refine your text, it doesn't create new content from scratch. Instead, it reviews what you've written and offers suggestions to improve it. So, although it employs some generative techniques for rephrasing, its primary role is corrective rather than creative.<h3 style="text-align:justify;">Siri – Your Reliable Virtual Assistant</h3>Siri, Apple’s well-known virtual assistant, is designed to help you with tasks like setting reminders, answering questions, and controlling smart devices. So does Siri fall under the category of Gen Ai or is Siri an example of AI? The thing is Siri is not an example of Generative or AI. Siri does use natural language processing and some generative elements for its responses. However, its core functionality centers on retrieving information and executing commands, rather than creating original content.&nbsp;&nbsp;<h3 style="text-align:justify;">Alexa – More Than Just a Voice Assistant</h3>Much like Siri, Amazon’s Alexa is built for efficiency in handling tasks and answering queries. It has evolved to offer more natural language interactions, but its main purpose remains service-oriented. Alexa’s responses are largely pre-programmed and based on external data sources. While it might use some generative techniques for conversational flow, it does not fully embody the creative, content-generating capabilities of true generative AI systems.<h3 style="text-align:justify;">Glance AI – Personalized Shopping Meets Generative AI</h3><a href="https://glance.com/id-ID/articles/news-on-glance-revolutionizing-how-we-consume-news-on-our-lock-screens">Glance AI</a> is an emerging tool that leverages generative AI to deliver personalized shopping experiences. It offers features like virtual try-ons and curated recommendations, transforming how you shop online. By analysing your style preferences and past behaviour, Glance AI generates personalized content that helps you visualize products before you buy.&nbsp; &nbsp;&nbsp;<h3 style="text-align:justify;">Grok – The New Contender</h3>Recently, tools like Grok have entered the scene, stirring excitement with their unique approach to content generation. Grok blends deep learning with real-time data processing to offer a creative edge in conversations and content creation. Grok’s capabilities are similar to those of ChatGPT, marking it as another promising example of generative AI.<div class="raw-html-embed">
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</div><h2 style="text-align:justify;">Quick Reference Table: Are They Generative AI?</h2><figure class="table"><table><tbody><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Tool</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Generative AI?</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Why or Why Not</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">ChatGPT</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Yes</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Generates original, context-aware text responses using GPT.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">GPT (Models)</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Yes</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Core technology designed for content generation.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Siri</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Partially</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Uses some generative techniques but mainly retrieves info.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Alexa</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Partially</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Primarily service-oriented with limited generative output.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Grammarly</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Partially</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Enhances existing text rather than creating new content.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Glance AI</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Yes</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Uses gen AI to provide personalized shopping experiences with virtual try-ons.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Grok</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Yes (emerging)</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Incorporates generative methods for content creation.</td></tr></tbody></table></figure><div class="raw-html-embed">
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</div><h2 style="text-align:justify;">How to Know If a Tool is Generative AI or Not ?</h2>To determine if a tool is generative AI, consider you ask these questions:Does it create new content? Gen AI produces original text, images, music, or code, unlike traditional AI, which retrieves or processes information.&nbsp; Does it predict and generate responses? Instead of following pre-programmed rules, it learns from data and generates new outputs dynamically (e.g., ChatGPT, Midjourney).&nbsp; Is it capable of working without fixed responses? Gen&nbsp; AI adapts and creates fresh content, unlike AI assistants like Siri, which execute predefined commands.&nbsp; Does it improve with more data? Machine learning enables GenAI to refine its output over time.<div class="raw-html-embed">
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</div><h2 style="text-align:justify;">Wrap Up</h2>Generative AI is a fascinating field that’s rapidly changing how we interact with technology. From the impressive content-creating capabilities of GPT and ChatGPT to the task-oriented assistance of Siri, Alexa, and Grammarly, each tool offers unique benefits tailored to different needs.&nbsp;By understanding these differences, you can make informed decisions on which tools to use, ensuring you get the most out of your digital interactions. &nbsp;

Apakah ChatGPT merupakan AI generatif? Bagaimana dengan Siri atau Grammarly? Jelajahi apakah alat AI populer ini merupakan AI Gen atau bukan, kemampuan generatifnya, dan banyak lagi.


Jika kamu sering berselancar di media sosial dan melihat ilustrasi keren bergaya Ghibli yang dibuat oleh AI, kamu tidak sendirian. Generative AI sedang menjadi topik hangat, memicu rasa penasaran dan perdebatan di seluruh dunia. Dan kalau kamu termasuk orang yang ingin tahu lebih dalam serta ingin memahami alat-alat apa saja yang termasuk ke dalam kategori ini, kamu berada di tempat yang tepat.&nbsp;Dalam blog ini, kita akan menjawab beberapa pertanyaan umum seperti “Apakah ChatGPT termasuk generative AI?” atau “Apakah Grammarly didukung oleh generative AI?”. Kita akan kupas satu per satu fungsi masing-masing alat ini dan bantu kamu memahami perbedaannya dari segi kemampuan generatif.&nbsp;&nbsp;<h2 style="margin-left:0px;">Apakah Mereka Termasuk Generative AI? Mari Kita Bahas&nbsp;</h2>Mari kita mulai dengan melihat beberapa alat AI populer yang mungkin kamu gunakan setiap hari. Kalau kamu juga penasaran dengan apa itu generative AI dan bagaimana bedanya dengan AI tradisional, yuk simak penjelasan berikut:&nbsp;Baca juga: <a href="https://glance.com/id/articles/best-ai-for-android">AI Terbaik untuk Android: Teman Digitalmu Menavigasi Dunia Sosial yang Kompleks</a>&nbsp;&nbsp;<h2 style="margin-left:0px;">ChatGPT – Contoh Utama GenAI&nbsp;</h2>Dibangun di atas arsitektur GPT (Generative Pre-trained Transformer), ChatGPT menghasilkan teks mirip manusia sebagai respons terhadap permintaanmu. Baik untuk membantu menulis kreatif maupun menjawab pertanyaan pelanggan, ChatGPT menciptakan konten orisinal yang relevan dengan konteks secara real-time. Kemampuannya beradaptasi dengan berbagai topik dan menghasilkan jawaban yang koheren menjadikannya salah satu contoh terbaik dari generative AI.&nbsp;&nbsp;<h2 style="margin-left:0px;">GPT – Mesin di Balik Keajaiban&nbsp;</h2>GPT adalah keluarga model AI yang memang dirancang untuk menghasilkan teks. Model ini dilatih menggunakan dataset berskala besar dan mampu menciptakan output yang kreatif, koheren, dan relevan dengan konteks. Saat kamu menggunakan alat seperti ChatGPT, kamu sedang memanfaatkan kekuatan GPT—tulang punggung teknologi generative AI masa kini.&nbsp;&nbsp;<h2 style="margin-left:0px;">Grammarly – Penyelamat dari Kesalahan Tulis&nbsp;</h2>Grammarly telah menjadi asisten andalan untuk menangkap kesalahan ketik, tata bahasa, dan gaya penulisan. Jadi, apakah Grammarly termasuk alat GenAI? Atau apakah Grammarly mirip dengan ChatGPT? Walaupun Grammarly menggunakan AI untuk menganalisis dan memperbaiki teks, alat ini tidak menciptakan konten dari nol. Grammarly hanya meninjau teks yang sudah kamu tulis dan memberikan saran untuk meningkatkannya. Jadi meskipun menggunakan teknik generatif untuk parafrase, fungsi utamanya lebih ke arah korektif, bukan kreatif.&nbsp;&nbsp;<h2 style="margin-left:0px;">Siri – Asisten Virtual Andal dari Apple&nbsp;</h2>Siri, asisten virtual milik Apple, dirancang untuk membantu tugas-tugas seperti mengatur pengingat, menjawab pertanyaan, dan mengontrol perangkat pintar. Apakah Siri termasuk dalam GenAI? Jawabannya: tidak sepenuhnya. Siri memang menggunakan pemrosesan bahasa alami dan beberapa elemen generatif, tapi fokus utamanya adalah mengambil informasi dan menjalankan perintah, bukan menciptakan konten orisinal.&nbsp;&nbsp;<h2 style="margin-left:0px;">Alexa – Lebih dari Sekadar Asisten Suara&nbsp;</h2>Sama seperti Siri, Alexa dari Amazon dirancang untuk efisiensi dalam menjalankan tugas dan menjawab pertanyaan. Alexa kini menawarkan interaksi bahasa yang lebih alami, namun fungsinya tetap berfokus pada layanan. Respons Alexa umumnya telah diprogram sebelumnya dan berbasis data eksternal. Meskipun ada unsur generatif untuk alur percakapan, Alexa belum sepenuhnya merepresentasikan generative AI yang sejati.&nbsp;&nbsp;<h2 style="margin-left:0px;">Glance AI – Belanja Personal dengan Sentuhan Generative AI&nbsp;</h2><a href="https://glance.com/id/articles/news-on-glance-revolutionizing-how-we-consume-news-on-our-lock-screens">Glance AI</a> adalah alat baru yang menggunakan generative AI untuk menghadirkan pengalaman belanja yang personal. Dengan fitur seperti coba pakaian virtual dan rekomendasi berdasarkan preferensi, Glance AI mengubah cara kamu berbelanja online. Berdasarkan gaya dan perilaku pengguna, Glance AI menghasilkan konten personal untuk bantu kamu membayangkan produk sebelum membeli.&nbsp;Grok – Pendatang Baru yang Menjanjikan&nbsp;Belakangan ini, alat seperti Grok mulai mencuri perhatian dengan pendekatannya yang unik dalam menciptakan konten. Grok memadukan pembelajaran mendalam (deep learning) dan pemrosesan data secara real-time untuk menghadirkan percakapan dan konten yang kreatif. Kapabilitasnya mirip dengan ChatGPT, menjadikannya contoh menjanjikan dari generative AI yang sedang berkembang.&nbsp;Tabel Referensi Cepat: Apakah Mereka Termasuk Generative AI?&nbsp;<figure class="table"><table><tbody><tr><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:86px;">Alat&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:105px;">Generative AI?&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:408px;">Alasan&nbsp;</td></tr><tr><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:86px;">ChatGPT&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:105px;">Ya&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:408px;">Menghasilkan teks orisinal dan kontekstual menggunakan GPT.&nbsp;</td></tr><tr><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:86px;">GPT (Model)&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:105px;">Ya&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:408px;">Teknologi inti untuk menghasilkan konten.&nbsp;</td></tr><tr><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:86px;">Siri&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:105px;">Sebagian&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:408px;">Menggunakan elemen generatif tapi fungsinya mengambil info.&nbsp;</td></tr><tr><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:86px;">Alexa&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:105px;">Sebagian&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:408px;">Fokus pada layanan dengan output generatif terbatas.&nbsp;</td></tr><tr><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:86px;">Grammarly&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:105px;">Sebagian&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:408px;">Meningkatkan teks yang ada, bukan membuat dari nol.&nbsp;</td></tr><tr><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:86px;">Glance AI&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:105px;">Ya&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:408px;">Menggunakan GenAI untuk pengalaman belanja personal.&nbsp;</td></tr><tr><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:86px;">Grok&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:105px;">Ya (baru)&nbsp;</td><td style="background-color:transparent;border:2px solid rgb(0, 0, 0);padding:0px;width:408px;">Menggunakan metode generatif untuk menciptakan konten.&nbsp;</td></tr></tbody></table></figure>&nbsp;<h2 style="margin-left:0px;">Bagaimana Mengetahui Sebuah Alat Termasuk Generative AI atau Tidak?&nbsp;</h2>Untuk mengetahui apakah sebuah alat termasuk generative AI, tanyakan hal-hal berikut:&nbsp;Apakah alat ini menciptakan konten baru?&nbsp; GenAI menciptakan teks, gambar, musik, atau kode orisinal, berbeda dengan AI tradisional yang hanya mengambil atau memproses informasi.&nbsp;Apakah alat ini memprediksi dan menghasilkan respons?&nbsp; Alih-alih mengikuti aturan yang diprogram, GenAI belajar dari data dan menghasilkan output baru secara dinamis (contohnya: ChatGPT, Midjourney).&nbsp;Apakah alat ini tidak bergantung pada respons tetap?&nbsp; GenAI bisa beradaptasi dan menciptakan konten segar, berbeda dengan asisten AI seperti Siri yang hanya menjalankan perintah yang sudah ditentukan.&nbsp;Apakah performanya meningkat seiring bertambahnya data?&nbsp; Machine learning memungkinkan GenAI menyempurnakan hasilnya seiring waktu.&nbsp;<h2 style="margin-left:0px;">Penutup&nbsp;</h2>Generative AI adalah bidang menarik yang sedang mengubah cara kita berinteraksi dengan teknologi. Dari kemampuan GPT dan ChatGPT yang bisa membuat konten, hingga alat seperti Siri, Alexa, dan Grammarly yang lebih fokus pada fungsi spesifik—masing-masing punya keunggulan tersendiri.&nbsp;Dengan memahami perbedaannya, kamu bisa membuat keputusan yang lebih cerdas soal alat mana yang cocok kamu gunakan, agar pengalaman digitalmu lebih maksimal.&nbsp;

Penjelasan tentang AI Generatif: ChatGPT, GPT, Siri, Grammarly – Apakah Itu GenAI?

Explore the world of generative AI tools. Learn how ChatGPT, GPT, Siri, and Grammarly work & discover a curated gen AI tools list to guide your tech decision.

Generative AI Tools: ChatGPT, GPT, Siri, Grammarly Explained

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 </style></div>If you’ve been scrolling through social media and noticing those stunning Ghibli-inspired illustrations generated by AI, you’re not alone. Generative AI is making headlines, sparking curiosity and debate across the globe. And if you’re someone thought to dig deeper into it and learn about which tools fall into this category, you landed at the right place.&nbsp;In this blog, we will answer some questions often on everyone’s mind like “Is ChatGPT a generative AI?” or “Is Grammarly powered by generative AI?”. We’ll break down what each tool does, and help you understand how they differ when it comes to generative capabilities.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2 style="text-align:justify;">Are They Generative AI? Let’s Break It Down</h2>Let’s start by looking at some popular AI tools that you probably use every day. Meanwhile, if you’re curious to know what generative AI is and how they differ from traditional AIRead:&nbsp;<a href="https://glance.com/blogs/glanceai/ai-trends/what-is-generative-ai-your-easy-to-understand-guide?utm_source=Glance&amp;utm_medium=external&amp;utm_campaign=Glance+India">What is Generative AI? Your Easy-to-Understand Guide</a><h3 style="text-align:justify;">ChatGPT – A Leading Gen AI</h3>Built on the GPT (Generative Pre-trained Transformer) architecture, it produces human-like text in response to your prompts. Whether you’re looking for creative writing assistance or need help with a customer query, ChatGPT generates original, context-aware content in real time. Its ability to adapt to various topics and produce coherent responses makes it a prime example of generative AI in action.<h3 style="text-align:justify;">GPT – The Engine Behind the Magic</h3>GPT refers to a family of models designed specifically for generating text. These models are trained on massive datasets and can produce creative, coherent, and contextually relevant outputs. When you use tools like ChatGPT, you’re tapping into the power of GPT, which is the backbone of modern generative AI technology.<h3 style="text-align:justify;">Grammarly – The Saviour Tool for Grammar Mistakes</h3>Grammarly has become the go-to assistant for catching typos, grammatical errors, and style inconsistencies. So, is Grammarly a Genai tool? Or Is Grammarly like ChatGPT? While Grammarly uses AI to analyze and refine your text, it doesn't create new content from scratch. Instead, it reviews what you've written and offers suggestions to improve it. So, although it employs some generative techniques for rephrasing, its primary role is corrective rather than creative.<h3 style="text-align:justify;">Siri – Your Reliable Virtual Assistant</h3>Siri, Apple’s well-known virtual assistant, is designed to help you with tasks like setting reminders, answering questions, and controlling smart devices. So does Siri fall under the category of Gen Ai or is Siri an example of AI? The thing is Siri is not an example of Generative or AI. Siri does use natural language processing and some generative elements for its responses. However, its core functionality centers on retrieving information and executing commands, rather than creating original content.&nbsp;&nbsp;<h3 style="text-align:justify;">Alexa – More Than Just a Voice Assistant</h3>Much like Siri, Amazon’s Alexa is built for efficiency in handling tasks and answering queries. It has evolved to offer more natural language interactions, but its main purpose remains service-oriented. Alexa’s responses are largely pre-programmed and based on external data sources. While it might use some generative techniques for conversational flow, it does not fully embody the creative, content-generating capabilities of true generative AI systems.<h3 style="text-align:justify;">Glance AI – Personalized Shopping Meets Generative AI</h3><a href="https://glance.com/glanceai">Glance AI</a> is an emerging tool that leverages generative AI to deliver personalized shopping experiences. It offers features like virtual try-ons, AI Styling and curated recommendations, transforming how you shop online. By analyzing your style preferences and past behavior, Glance AI generates personalized content that helps you visualize products before you buy.&nbsp;&nbsp;<h3 style="text-align:justify;">Grok – The New Contender</h3>Recently, tools like Grok have entered the scene, stirring excitement with their unique approach to content generation. Grok blends deep learning with real-time data processing to offer a creative edge in conversations and content creation. Grok’s capabilities are similar to those of ChatGPT, marking it as another promising example of generative AI.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2 style="text-align:justify;">Quick Reference Table: Are They Generative AI?</h2><figure class="table"><table><tbody><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Tool</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Generative AI?</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Why or Why Not</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">ChatGPT</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Yes</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Generates original, context-aware text responses using GPT.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">GPT (Models)</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Yes</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Core technology designed for content generation.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Siri</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Partially</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Uses some generative techniques but mainly retrieves info.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Alexa</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Partially</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Primarily service-oriented with limited generative output.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Grammarly</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Partially</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Enhances existing text rather than creating new content.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Glance AI</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Yes</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Uses gen AI to provide personalized shopping experiences with virtual try-ons.</td></tr><tr><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Grok</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Yes (emerging)</td><td style="border:0.5pt solid #000000;padding:5pt;vertical-align:top;">Incorporates generative methods for content creation.</td></tr></tbody></table></figure><div class="raw-html-embed"><div>
 
 
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 </div></div><h2 style="text-align:justify;">How to Know If a Tool is Generative AI or Not ?</h2>To determine if a tool is generative AI, consider you ask these questions:Does it create new content? Gen AI produces original text, images, music, or code, unlike traditional AI, which retrieves or processes information. Does it predict and generate responses? Instead of following pre-programmed rules, it learns from data and generates new outputs dynamically (e.g., ChatGPT, Midjourney). Is it capable of working without fixed responses? Gen&nbsp; AI adapts and creates fresh content, unlike AI assistants like Siri, which execute predefined commands. Does it improve with more data? Machine learning enables GenAI to refine its output over time.<div class="raw-html-embed"><div>
 
 
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 </div></div><h2 style="text-align:justify;">Wrap Up</h2>Generative AI is a fascinating field that’s rapidly changing how we interact with technology. From the impressive content-creating capabilities of GPT and ChatGPT to the task-oriented assistance of Siri, Alexa, and Grammarly, each tool offers unique benefits tailored to different needs.&nbsp;By understanding these differences, you can make informed decisions on which tools to use, ensuring you get the most out of your digital interactions. &nbsp;

Glance AI Blogs

Generative AI Explained: ChatGPT, GPT, Siri, Grammarly – Are They GenAI?