Large Language Model based Multi-Agents: A Survey of Progress and Challenges
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Updated
Apr 24, 2024
Large Language Model based Multi-Agents: A Survey of Progress and Challenges
Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models
The data and implementation for the experiments in the paper "Flows: Building Blocks of Reasoning and Collaborating AI".
A framework for evaluating the effectiveness of chain-of-thought reasoning in language models.
Awesome Mixture of Experts (MoE): A Curated List of Mixture of Experts (MoE) and Mixture of Multimodal Experts (MoME)
Compare the intelligence of different AIs using randomly generated tasks.
Latent-Explorer is the Python implementation of the framework proposed in the paper "Unveiling LLMs: The Evolution of Latent Representations in a Dynamic Knowledge Graph".
Personal coach based on LLMs
Experiments relating to synthetic LLM user-agents and LLM facilitators in online discussions
A powerful Python library that combines the Google Books API with Cohere's LLM capabilities to create an intelligent book discovery and analysis system. This tool enables sophisticated book searches, AI-powered analysis, and smart recommendations.
Estudo sobre LLM-Agents (Modelos de Linguagem com Agentes), abordando conceitos e técnicas de treinamento de LLMs
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