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Official comprehensive guide for LLaMA model inference, fine-tuning, RAG, and end-to-end use cases. Includes examples for domain adaptation and LLM applications.
Framework for fine-tuning LLMs with synthetic data using the LAB (Large-Scale Alignment for ChatBots) method. Now refactored into SDG Hub and Training Hub components.
Ray is an AI compute engine for scaling AI and Python applications. It consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A lightweight, offline-capable AI tool for automatic ID photo generation with portrait matting, background replacement, and layout photo creation.