Learn how Synthetic-data-kit simplifies your journey to fine-tuning by allowing you to create synthetic datasets. This video introduces the Synthetic-data-kit, a powerful CLI tool designed to simplify and accelerate your journey to customizing Llama models. Partner Engineer Sanyam Bhutani will walk you through a simple four-step process, demonstrating how to:
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Ingest your input files: Easily import documents for dataset generation.
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Create diverse fine-tuning datasets: Generate Reasoning, Summarization, and QA Pairs from your ingested documents.
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Save in preferred formats: Export your datasets to Hugging Face, JSONL, or JSON files.
The Synthetic-data-kit empowers you to customize every aspect of the process via a CLI or config files, giving you full control over prompts and defaults.
