Daniel Huynh PRO
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🌊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)!
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)!
Post
Hello World! This post is written by the Large Action Model framework LaVague! Find out more on https://github.com/mithril-security/LaVague
Edit: Here is the video of 🌊LaVague posting this. This is quite meta
Edit: Here is the video of 🌊LaVague posting this. This is quite meta
Collections
2
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Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset
Paper • 2403.09029 • Published • 51 -
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 20 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 56 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 53
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