Feb 1 · 12 min read · Transformers: In general, to transform means changing something from one form to another. In artificial intelligence, Transformers are models that transform raw input data such as text, audio, or images into meaningful representations that machines c...
Join discussionDec 17, 2025 · 7 min read · Brewing GenAI — One Cup of Chai at a Time ☕ This is the first blog in a series I’ll be posting over the coming days, covering concepts from my Generative AI (GenAI) course—basically a learning diary for me. Just like how we sip chai slowly and enjoy ...
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Sep 4, 2025 · 12 min read · When we talk about generative AI, there is often a lot of noise around it. The hype that companies create by promoting this technology as world-changing (which it is, to some extent!) can be quite overwhelming. Honestly, it might discourage new learn...
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Aug 13, 2025 · 6 min read · Introduction Generative AI has become an inseparable part of our journey as developers. In this blog, I’ve tried to keep things crisp, simple, and beginner-friendly — whether you’re just curious about what all the hype is about or you’re an amateur d...
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Apr 13, 2025 · 6 min read · Tokenization Tokenization is one of the key concepts used in various fields like AI, Web3, Cyber-Security, and many more. It is the act of masking letters, words, special characters or in general any sensitive information, with the real numbers. Each...
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Apr 8, 2025 · 4 min read · #chaicode #GenAi #cohort What is covered?What is AI, GPT, Knowledge Cutoff, Attention is all you need white paper by google, Transformer working, Vector embeddings, Positional Encoding, Self Attention mechanism, multi-head attention, Feed Forward, ...
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Apr 8, 2025 · 6 min read · Tagline: Ever wondered how GPT(Generative Pretrained Transformer) understands and responds like a human? Let’s break down the buzzwords over a cup of chai. What is GPT? GPT (Generative Pre-trained Transformer) is a type of AI that can generate human...
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Apr 8, 2025 · 7 min read · dEncoder- Encoder in AI terms is a component of the Transformer Architecture which was introduced by the Google Brain team in the year 2017 in their research paper, “ Attention is all you need”. But here we are trying to decode it in simple term usin...
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Mar 10, 2025 · 5 min read · Hello 👽, I was telling you the story of the Google Brain and Research teams, right? Yes, so let’s continue. If you are just joining, you might need to read our previous chapter, Introduction to Transformers 1. Also, you can access their paper, Atten...
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Feb 8, 2025 · 6 min read · This blog is Part 3 of our series on how transformers work. By the end of this post, you’ll have an intuitive understanding of Multi-Head Attention—a key mechanism that enhances the model’s ability to capture diverse relationships between tokens. Sel...
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