Build a Large Language Model (From Scratch) vs Llama 2

Build a Large Language Model (From Scratch)

Learn to build an LLM from the ground up with hands-on code

This Manning Publications book by Sebastian Raschka guides readers through building a GPT-style large language model from scratch using Python and PyTorch. It covers tokenization, transformer architecture, pre-training, and fine-tuning with clear, step-by-step code examples. The book is designed for ML practitioners and engineers who want a deep, practical understanding of how modern LLMs like ChatGPT actually work under the hood.

Llama 2

Meta's open-source LLM fine-tuned for chat and research

Llama 2 is Meta's second-generation open-source large language model, available in 7B, 13B, and 70B parameter sizes, with both pretrained and fine-tuned chat variants. Unlike the original LLaMA, Llama 2 is released for both research and commercial use under a permissive license. The chat-optimized versions use RLHF alignment and are competitive with many proprietary models on reasoning and dialogue benchmarks.