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💪Build an information retrieval Agent that can beat Gemini and OpenAI using open-source Large Action Model framework!

In this video, we ask to different proprietary Conversational AI the question:
“What is the most trendy recent paper on Llava models on Hugging Face papers? Provide the date and a summary of the paper”, and the results are interesting!
❌Gemini: found a paper from Jan 29, 2024
❌OpenAI: found a paper from October 2023
❌You.com: found a paper from Jan 29 2024
✅LaVague: found the latest paper (ConvLlaVA which is dope by the way https://arxiv.org/abs/2405.15738)!

The best? Our solution fits a few ines of code with our open-source framework! I will share how we built that agent during our webinar on AI Web Agents, this Thursday 30th May at 9 am PST (https://lu.ma/m8fzmb3q) so don’t miss it 😉

You can also start playing with our framework: https://github.com/lavague-ai/LaVague

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Open-source embeddings and LLMs outperform Gemini and OpenAI for Web Navigation while being faster and cheaper