LLM Zero to Hundred
Basic Information
LLM-Zero-to-Hundred is a repository intended as a collection and learning resource for building and experimenting with large language model chatbots and agent systems. It aggregates different LLM chatbot projects, including retrieval-augmented generation (RAG) examples and LLM agent patterns, and collects well-known techniques for training and fine-tuning LLMs. The repository title and description indicate a progression from introductory material to more advanced topics, aimed at readers who want a broad, hands-on overview of approaches to construct conversational systems, integrate retrieval, and apply model tuning strategies. The content appears focused on demonstrating practical projects and documenting methods that help users understand end-to-end workflows for LLM-based chatbots and agent behaviors.
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