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Industrial-first evaluation benchmark for LLMs in the DevOps/AIOps domain.
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
Ongoing research training transformer models at scale
ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases
🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org
🦜🔗 Build context-aware reasoning applications
An Autonomous LLM Agent for Complex Task Solving
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"
ToolEyes: Fine-Grained Evaluation for Tool Learning Capabilities of Large Language Models in Real-world Scenarios
An Analytical Evaluation Board of Multi-turn LLM Agents
Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".
Agent framework and applications built upon Qwen2, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.
Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
MuCGEC中文纠错数据集及文本纠错SOTA模型开源；Code & Data for our NAACL 2022 Paper "MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction"
ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.
This dataset contains synthetic training data for grammatical error correction. The corpus is generated by corrupting clean sentences from C4 using a tagged corruption model. The approach and the d…
A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)
AgentTuning: Enabling Generalized Agent Abilities for LLMs