Bharat MiniGPT 350M: A Custom GPT-Style LLM Built from Scratch in India
The AI industry today is dominated by massive language models from companies like OpenAI, Google, and Meta. Most public AI
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AI/ML
FP32 vs FP16 vs BF16: Complete Guide for AI, Deep Learning, and Modern Hardware
Introduction In modern deep learning, numerical precision formats play a critical role in determining model performance, speed, and memory usage.
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Learning Rate in AI/Machine Learning/LLM: A Deep, Practical Guide
Introduction The learning rate (LR) is one of the most important hyperparameters in machine learning—especially in deep learning. It controls
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Thinking + Loop in LLMs: A Deep Dive into Reasoning, Iteration, and Agentic Intelligence
Introduction Large Language Models (LLMs) like GPT-4, LLaMA, and Mistral are no longer just next-token predictors. Modern systems are designed
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Head Dimension in AI: Complete Guide for Transformers
Introduction In Transformer-based models like GPT (Generative Pre-trained Transformer) and LLaMA, one important concept that directly affects performance is the
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MHA vs MQA vs GQA: Complete Guide to Attention Mechanisms in Transformers
Introduction Attention mechanisms are the backbone of modern AI models, especially Transformer-based architectures like GPT (Generative Pre-trained Transformer) and LLaMA.
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LM Head in AI: Complete Guide for Deep Learning & LLMs
Introduction In modern language models, one crucial yet often overlooked component is the LM Head (Language Modeling Head). It is
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Vocabulary Size in AI: A Complete Guide for NLP and LLMs
Introduction In Artificial Intelligence, especially Natural Language Processing (NLP), vocabulary size (vocab size) is one of the most critical design
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