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

Synthetic data purpose-built for Generative AI
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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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Опубликовано:

 

16 сен 2024

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Комментарии : 1   
@petarvukovic1181
@petarvukovic1181 Месяц назад
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!
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