Nov 27, 2025 · 7 min read · Hey there, fellow developers!✨ Have you ever wondered how to harness the power of advanced machine learning directly on your mobile devices using Flutter? Today, we’re diving deep into the realm of on-device ML, focusing on some of the most effective...
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Jun 10, 2025 · 3 min read · This is a cool, gentle intro to the Softmax Activation function. Softmax in Machine Learning is used for multi-class classification. Before it, we used logistic regression to classify an example into one of the two classes. But logistic regression wa...
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Apr 16, 2025 · 4 min read · At first glance, AI seems magical in how it generates text for our queries and responds so well. It has become an integral part of our lives, and understanding how AI works makes us feel more in control and helps us use AI tools more effectively. So,...
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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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Mar 15, 2025 · 4 min read · [41] Introduction LLMs or large language models are a specific type of machine learning model. they are built upon the principles of deep learning and utilize complex neural networks to process and generate human-like texts. OpenAI’s Latest ChatGPT M...
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Mar 5, 2025 · 2 min read · The softmax, as we know, is numerically unstable when applied to vectors containing very small or very large numbers because of the exponential function involved in its computation. The softmax formula is: \(\text{softmax}(x_{i}) = \frac{e^{x_{i}}}{\...
Join discussionDec 17, 2024 · 2 min read · Today, I discovered that the sigmoid function is equivalent to softmax when applied to two inputs, with one input fixed to zero. With almost a decade of experience in machine learning, and earlier work in compute for signal processing, I had never co...
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