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[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.
Build, Evaluate, and Optimize AI Systems. Includes evals, RAG, agents, fine-tuning, synthetic data generation, dataset management, MCP, and more.
- ai
- chain-of-thought
- collaboration
- dataset-generation
Evaluation code for various unsupervised automated metrics for Natural Language Generation.
- natural-language-generation
- natural-language-processing
- nlg
- nlp
Scaling in Games: Continued Pre-Training for Embodied Agents in Diverse Virtual Worlds. Weights on Hugging Face.
- embodied-agent
- game-agent
- game-ai
- mihoyo
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.
- ai-agents
- benchmarking
- llm-evaluation
- python
Can AI agents rebuild websites through browser exploration?
- benchmark
- harbor
- website-reconstruction
- agent-evaluation
Catch silent failures in agent workflows by verifying real system state