Textbook on reinforcement learning from human feedback
The main features of natolambert/rlhf-book are: Books and Guides, Learning Resources.
Open-source alternatives to natolambert/rlhf-book include: hcplab-sysu/book-of-mlm. lordog/dive-into-llms — Dive into LLMs is a framework designed for fine-tuning large language models and constructing modular machine learning… datawhalechina/hello-agents — This project provides a comprehensive framework for building, training, and managing autonomous agents. It enables the… handsonllm/hands-on-large-language-models — This project is an educational resource focused on the internal mechanics and design principles of transformer-based… liucongg/llmsbook. rasbt/llms-from-scratch — This repository serves as an educational framework for building large language models from the ground up. It provides…
This project is an educational resource focused on the internal mechanics and design principles of transformer-based neural networks. It provides a structured guide to the fundamental components of generative artificial intelligence, including sequence modeling, semantic embeddings, and the mathematical foundations of large language models. The repository distinguishes itself through a heavy emphasis on visual documentation, utilizing diagrams and step-by-step explanations to clarify how data flows through complex neural architectures. It serves as a technical reference for developers seeking
This project provides a comprehensive framework for building, training, and managing autonomous agents. It enables the construction of systems that utilize language models to plan, manage memory, and execute multi-step tasks through iterative reasoning loops and tool-based actions. The framework distinguishes itself by offering specialized capabilities for interacting with graphical user interfaces and legacy software, allowing agents to perceive visual elements and perform actions like a human user. It supports complex, cross-application workflows through graph-based orchestration and provid