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A comprehensive collection of resources and tutorials for building AI infrastructure and systems.
Code and models for a multimodal large language model that can perform any-to-any tasks
ReAct is a framework that synergizes reasoning and acting in large language models for decision-making.
An extremely lightweight implementation of GPT-2 in NumPy, useful for vibe coders building AI-powered apps.
An open-source project that enables developers to build chatbots with video understanding using large language models.
An official repository for the 'Mini-Gemini' model, a multi-modal vision-language model for generation tasks.
Implement reasoning LLM in PyTorch from scratch
An open-source, instruction-tuned audio-visual language model for video understanding
A high-quality end-to-end speech interaction model for AI-powered voice applications.
Open-source CodeT5 language models for understanding and generating code
A comprehensive interview prep resource for AIGC, LLM, and AI-related engineering roles.
Open-source tools for prompt testing and experimentation with LLMs and vector databases.
Secure, scalable AI-powered search and retrieval platform for enterprise knowledge across 100+ apps.
C++ implementation of large language models ChatGLM-6B, ChatGLM2-6B, ChatGLM3 and GLM4(V) for natural language processing.
An open-source visual programming environment for battle-testing prompts to large language models.
A large language model developed by Baichuan Intelligent Technology for AI-powered applications and research.
A comprehensive multimodal system for long-term streaming video and audio interactions using large language models.
A curated list of must-read papers on large language model agents and their applications.
A lightweight and generalist NER model for extracting entities from text, with support for prompt-tuning.
Large-scale, informative, and diverse multi-round chat data and models for chatbot and language model development.
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