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Daniel Huynh PRO

dhuynh95

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Recent Activity

updated a collection 6 days ago

cool-papers

upvoted a paper 6 days ago

Stronger Models are NOT Stronger Teachers for Instruction Tuning

upvoted a paper 6 days ago

Autoregressive Models in Vision: A Survey

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Articles

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

Jun 21

• 7

Automatic Hallucination detection with SelfCheckGPT NLI

Nov 27, 2023

• 4

StarCoder Memorization Experiment Highlights Privacy Risks of Fine-Tuning On Code

Nov 2, 2023

Introducing BlindChat, an open-source and privacy-by-design Conversational AI fully in-browser

Sep 22, 2023

• 1

AI Total Cost of Ownership Calculator: Evaluate the cost of in-house AI deployment vs AI APIs

Sep 20, 2023

• 1

Organizations

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1598

💪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

Post

1762

🌊LaVague can compile Action Plans into actionable code to browse the internet!

In this example, you can see how an action plan with natural language instructions can be “compiled” into executable Selenium code!

🤖This shows the potential of #LAM (Large Action Models) to perform actions for us and automate mechanical tasks.
This example leverages a local embedding model and OpenAI GPT-3.5, but we support many options, including local ones with Gemma!
You can try this in our docs: https://docs.lavague.ai/en/latest/

LaVague is an open-source Large Action Model framework to automate automation. If you are interested in helping us on our mission to democratize automation tooling for devs, don’t hesitate to visit our GitHub (https://github.com/lavague-ai/LaVague) or Discord (https://discord.gg/SDxn9KpqX9)!

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