Need to analyze data? Let a Llama-3.1 agent do it for you!
Search and save datasets generated with a LLM in real time
Explore and compare LLM models through interactive leaderboards and submissions
M-RewardBench Leaderboard
Try the Hugging Face API through the playground
Display competition information and manage submissions
Migrate datasets from GitHub or Kaggle to Hugging Face Hub
Leaderboard for text-to-video generation models
Analyze and visualize Hugging Face model download stats
Display CLIP benchmark results for inference performance
View and compare pass@k metrics for AI models
Calculate VRAM requirements for running large language models
Explore speech recognition model performance
Agent Data Analyst is a powerful tool powered by Llama 3.1 designed to simplify and enhance your data analysis workflow. It allows users to analyze data and generate actionable insights directly from CSV files. Whether you're a data professional or someone looking to make data-driven decisions, this tool provides an intuitive and efficient way to work with your data.
What file formats does Agent Data Analyst support?
Agent Data Analyst primarily supports CSV files for data analysis.
Can I use Agent Data Analyst for real-time data analysis?
While it is optimized for batch processing of CSV files, real-time analysis capabilities may vary depending on your specific use case.
Where are the insights generated?
Insights are generated directly within the tool, leveraging the power of Llama 3.1 for accurate and relevant results.