A generative speech model for daily dialogue.
-
Updated
Sep 21, 2024 - Python
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
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
[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.
Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.
Your agent in your terminal, equipped with local tools: writes code, uses the terminal, browses the web, vision.
An open-source LLM based automatically daily news collecting workflow showcase powered by Agently AI application development framework.
On-Call/DevOps Assistant - Get a head start on fixing alerts with AI investigation
Add a description, image, and links to the llm-agent topic page so that developers can more easily learn about it.
To associate your repository with the llm-agent topic, visit your repo's landing page and select "manage topics."