TAPEX
Collection
TAPEX is the state-of-the-art table pre-training models which can be used for table-based question answering and table-based fact verification.
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Lucas Draichi
Draichi
AI & ML interests
AI in motorsports | Reinforcement Learning | Agents
Recent Activity
updated
a dataset
14 days ago
Draichi/f1-brazil-2024-telemetry
Reacted to
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with 🔥
14 days ago
🏁 Now it is possible to chat with telemetry data from real Formula 1 races!
This is an AI-powered solution for analyzing and generating detailed reports on Formula 1 racing sessions. This project combines the power of ReAct agents from LangChain with a RAG approach to pull data from a SQL database.
At the core of this system is a text-to-SQL capability that allows users to ask natural language questions about various aspects of F1 races, such as driver performance, weather impact, race strategies, and more. The AI agent then queries the database, processes the information, and generates comprehensive reports tailored to the user's needs.
The reports can be exported in various formats, making it easy to share insights with team members, race fans, or the broader motorsports community.
(The project is in beta, some erros may occur)
Check it out:
- https://huggingface.co/spaces/Draichi/Formula1-race-debriefing
- https://github.com/Draichi/formula1-AI
updated
a Space
19 days ago
Draichi/Formula1-race-debriefing
Organizations
Draichi's activity
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collection
4 months ago
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paper
6 months ago
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6 months ago
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8 months ago
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11 months ago