A programming framework for agentic AI 🤖
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Updated
Oct 2, 2024 - Jupyter Notebook
A programming framework for agentic AI 🤖
A generative speech model for daily dialogue.
Start building LLM-empowered multi-agent applications in an easier way.
👾 Open source implementation of the ChatGPT Code Interpreter
总结Prompt&LLM论文,开源数据&模型,AIGC应用
A curated list of Generative AI tools, works, models, and references
Harness LLMs with Multi-Agent Programming
[ICML 2024] LLMCompiler: An LLM Compiler for Parallel Function Calling
Quark Agent - Your AI-powered Android APK Analyst
[AI Agent Application Development Framework] - 🚀 Build AI agent native application in very few code 💬 Easy to interact with AI agent in code using structure data and chained-calls syntax 🧩 Enhance AI Agent using plugins instead of rebuild a whole new agent
A repo lists papers related to LLM based agent
Low code tool to rapidly build and coordinate multi-agent teams
[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.
LLM abstractions that aren't obstructions
Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-player characters (NPCs) in any game! 🎮🤖🚀
irresponsible innovation. Try now at https://chat.dev/
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
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