This project is a technical learning resource and developer knowledge base focused on the integration of large language models into software applications. It provides a structured collection of guides and code examples designed to teach developers how to implement intelligent features using proven patterns and best practices. The repository distinguishes itself through a library of functional demonstrations that cover complex topics such as retrieval-augmented generation, function calling, and prompt engineering workflows. These materials are organized into a modular structure, allowing for t
This project is an educational course and set of instructional materials for building large language models from scratch using Python. It provides a step-by-step guide and practical tutorials focused on the internal mechanics of transformer architectures and pre-training workflows. The repository features a framework for implementing and comparing diverse model families, including Llama, GLM, and RWKV. It uses a configuration-driven assembly approach to analyze the structural differences and internal mechanisms of these various architectures. The codebase covers the complete development pipe
LLM-RL-Visualized is a visual reference library and collection of knowledge maps designed to explain Large Language Model and Reinforcement Learning algorithms. It provides a structured system of conceptual diagrams and taxonomies covering the intersection of language model alignment and reinforcement learning. The project distinguishes itself through detailed visual mappings of complex workflows, such as the coordination of reward models and policy optimization in reinforcement learning from human feedback. It contrasts different preference optimization architectures, such as RLHF and Direct
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The main features of iusztinpaul/hands-on-llms are: LLM Development and Research, LLM Financial Tools, Courses and Tutorials, Learning Resources.
Open-source alternatives to iusztinpaul/hands-on-llms include: openai/openai-cookbook โ This project is a technical learning resource and developer knowledge base focused on the integration of largeโฆ karminski/one-small-step โ One Small Step is an educational resource that explains core AI and large language model concepts through short,โฆ andysingal/llm-course. changyeyu/llm-rl-visualized โ LLM-RL-Visualized is a visual reference library and collection of knowledge maps designed to explain Large Languageโฆ fareedkhan-dev/all-rag-techniques. datawhalechina/llms-from-scratch-cn โ This project is an educational course and set of instructional materials for building large language models fromโฆ