Show HN: Generate, Clean, and Prepare LLM Training Data, All-in-One

DataFlow addresses a persistent bottleneck in the local LLM pipeline: preparing high-quality training data. While model architectures and inference optimization have received substantial community attention, data preparation remains labor-intensive. This all-in-one tool streamlines dataset generation, cleaning, and preprocessing—critical for practitioners looking to fine-tune local models on domain-specific tasks.

The ability to prepare training data locally (rather than relying on external services) is important for organizations with proprietary or sensitive information. By consolidating multiple data pipeline stages, DataFlow reduces complexity and makes it more accessible for developers to experiment with model fine-tuning locally.

Check out DataFlow on GitHub to streamline your local LLM training pipeline.

Source: Hacker News · Relevance: 7/10