Agents
LaVague Update #7
Welcome to another dev updates, where we announce improved performance, new features community contributions, and much more!
LaVague Weekly Update #6
Welcome to our sixth dev update, where we announce a POC chrome extension for our Web Agent framework, a debugging guide and new safe code execution, as well as community contributions.
A quick walkthrough into LLMs, Large Action Models and Agents
Large Action Models (LAMs) areLLMs specifically trained for action generation or generalist LLMs like GPT-4 prompted for action. Agents leverage those to achieve users’ goals. LaVague is a framework to build AI Web Agents.
Open-source embeddings and LLMs outperform Gemini and OpenAI for Web Navigation while being faster and cheaper
We have developed evaluation tooling of AI models for Web Navigation. We found that local embedding models are as performant as proprietary ones behind APIs like OpenAI while being as fast or even faster and cheaper.
LaVague Weekly Update #5
Welcome to our fifth dev update, where we announce new benchmarking methods and documentation for our open-source framework for Web Agents & share what's coming next!
LaVague Weekly Update #4
Welcome to our fourth dev update, where we announce the revival of our Gradio interface, a Playwright integration, a memory component & new documentation
LaVague Weekly Update #3
Welcome to our third dev update, where we announce updates to the structure of our engines, a new local logging method, our next webinar and what is to come for our Large Action Model framework.