@_rohit_tiwari_: This 230-page book unlocks the secrets of LLMs. https://drive.google.com/file/d/1ZqV0wByb65_wvzWUbaLw6pCbtXgyXDHG/view……
Summary
A 230-page book that comprehensively covers LLM concepts including pre-training, fine-tuning, alignment, and prompting techniques.
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This 230-page book unlocks the secrets of LLMs.
https://drive.google.com/file/d/1ZqV0wByb65_wvzWUbaLw6pCbtXgyXDHG/view…
Master LLMs step by step.
with clear explanations of core concepts pre-training, fine-tuning and human alignment
Foundations of Pre-training
Core concepts behind pre-training, the backbone of LLMs. Covers common objectives, techniques, and model architectures.
Building Generative Models
How generative models are developed. Covers the training pipeline, scaling strategies, and handling long texts.
Prompting Techniques
Prompting methods for LLMs. Includes basic strategies, plus advanced ones like chain-of-thought reasoning and automatic prompt design.
Aligning Models with Human Intent
Alignment methods for LLMs. Focuses on instruction fine-tuning and human feedback alignment.
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