How to Create High Quality Synthetic Data for Fine-Tuning LLMs

Alex from Gretel dives into the latest research and techniques for generating high-quality synthetic data to fine-tune large language models (LLMs). Learn about agent-based systems and practical steps to enhance your data.

Key Takeaways:
- Understand recent advancements in synthetic data generation.
- Learn how to leverage agentic systems for data creation.
- Techniques to fine-tune large language models with synthetic data.
- Step-by-step guide to generating high-quality synthetic data.

#SyntheticData #LLM #MachineLearning #DataScience #CompoundAI
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Gretel is a multi-modal synthetic data platform that leverages advanced generative AI and privacy-enhancing technologies. Developers use Gretel to generate artificial datasets with the same characteristics as real data, so they can develop and test AI models without compromising privacy.

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[petarvukovic]

Great video! I have one more use case to ask.Can I offer my clients AI agent which will be fine-tuned on syntatich data.Syntatic data will be based on CSV (first 100 rows with 7 lcolumns, handmaded). Is this workflow okey?

Another question is can i add my PDF as context to gretel.Based on that PDF can it generate instruction - response pair?

Thanks in advance!