BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents logo

BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents

The massive successes of large language models (LLMs) encourage the emerging exploration of LLM-augmented Autonomous Agents (LAAs).

GitHub Link

The GitHub link is https://github.com/salesforce/bolaa

Introduce

The GitHub repository "salesforce/BOLAA" contains code and resources related to the BOLAA paper. This initial release is in response to numerous requests and will be continually updated and cleaned. To set up, install "fastchat" for local open-source language model usage. Provide OPENAI API KEY in configurations for web and HotpotQA agents. Additionally, there are instructions for setting up web agent and HotpotQA agent environments. The paper and code are attributed to the authors, and acknowledgment is given to the ReAct code and Langchain for the LLM API. Testing was performed using WebShop and HotPotQA. The massive successes of large language models (LLMs) encourage the emerging exploration of LLM-augmented Autonomous Agents (LAAs).

Content

other agent options can be found in test_webagent.sh other agent options commands can be found in test_hotpotqa.sh If you find our paper or code useful, please cite

Alternatives & Similar Tools

LongLLaMA-handle very long text contexts, up to 256,000 tokens logo

LongLLaMA is a large language model designed to handle very long text contexts, up to 256,000 tokens. It's based on OpenLLaMA and uses a technique called Focused Transformer (FoT) for training. The repository provides a smaller 3B version of LongLLaMA for free use. It can also be used as a replacement for LLaMA models with shorter contexts.