The agent can load data, execute code, plot results and following your guidance and ideas!
A very natural way to collaborate with an LLM over data and it's just scratching the surface of what's possible soon!
The agent can load data, execute code, plot results and following your guidance and ideas!
A very natural way to collaborate with an LLM over data and it's just scratching the surface of what's possible soon!
huggingface.co/spaces/Huggi...
huggingface.co/spaces/Huggi...
"Moreover, ARC-AGI-1 is now saturating – besides o3's new score, the fact is that a large ensemble of low-compute Kaggle solutions can now score 81% on the private eval"
big ensemble of heuristics?
"Moreover, ARC-AGI-1 is now saturating – besides o3's new score, the fact is that a large ensemble of low-compute Kaggle solutions can now score 81% on the private eval"
big ensemble of heuristics?
We're super happy to release FineMath, the best open math dataset yet. A strong baseline to start training your own models
Find it in the trending section of HuggingFace ;)
We're super happy to release FineMath, the best open math dataset yet. A strong baseline to start training your own models
Find it in the trending section of HuggingFace ;)
- an evaluation set so you can compare models and APIs. Unlocking performance, latency, and cost improvements.
- Improve existing datasets by filtering down to the highest quality samples.
- an evaluation set so you can compare models and APIs. Unlocking performance, latency, and cost improvements.
- Improve existing datasets by filtering down to the highest quality samples.
Created with the Synthetic Data Generator!
"Made by Fluently Team using distilabel with love 🥰"
Dataset: https://buff.ly/3DwSKrZ
Space: https://buff.ly/3Y1S99z
Created with the Synthetic Data Generator!
"Made by Fluently Team using distilabel with love 🥰"
Dataset: https://buff.ly/3DwSKrZ
Space: https://buff.ly/3Y1S99z
Synthetic data is generated data that mimics real-world usage. It helps with data limitations and it is being used for pre- and post-training.
Learn how to create datasets for instruction and preference tuning!
GitHub: https://buff.ly/3BRwiZW
Synthetic data is generated data that mimics real-world usage. It helps with data limitations and it is being used for pre- and post-training.
Learn how to create datasets for instruction and preference tuning!
GitHub: https://buff.ly/3BRwiZW
Build datasets using natural language with the synthetic data generator.
GitHub: https://buff.ly/49IDSmd
Build datasets using natural language with the synthetic data generator.
GitHub: https://buff.ly/49IDSmd