Datasets & Fine-Tuning

Curate datasets and fine-tune your LLMs with Helicone to improve performance on specific tasks.

Helicone provides powerful features to help you curate high-quality datasets and fine-tune your Language Models (LLMs) for improved performance on specific tasks.

Dataset Curation

With Helicone, you can easily create and manage high-quality datasets for fine-tuning:

1

Evaluate Requests: Review your existing requests and assign scores based on quality and relevance.

2

Filter and Add: Use Helicone’s advanced filtering to select high-scoring requests and add them to your dataset.

3

Curate and Refine: Modify the selected requests to create a perfect, high-quality dataset tailored to your needs.

Fine-Tuning Integration

Helicone offers streamlined options for fine-tuning integration:

• JSONL Export: Easily export your curated datasets in JSONL format, compatible with various fine-tuning platforms.
• OpenPipe Integration: Connect directly to OpenPipe (openpipe.ai) to send your data and fine-tune open-source models seamlessly.
• Iteration Support: Quickly iterate on your datasets and fine-tuning processes based on real-world performance data captured by Helicone.

By leveraging Helicone’s dataset curation and fine-tuning integration features, you can significantly improve your LLM’s performance on specific tasks and domains.