Reposted
- a dataset that represents your use case or language, without costly data collection of annotation teams.
- 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.
GitHub - huggingface/smol-course: A course on aligning smol models.
A course on aligning smol models. Contribute to huggingface/smol-course development by creating an account on GitHub.
buff.ly
December 23, 2024 at 4:00 PM
- a dataset that represents your use case or language, without costly data collection of annotation teams.
- 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.
Reposted
