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:
Evaluate Requests: Review your existing requests and assign scores based on quality and relevance.
Filter and Add: Use Helicone’s advanced filtering to select high-scoring requests and add them to your dataset.
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.
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