Synthetic DATA Generation using LANGCHAIN 🦜️🔗

In this video, I will show you how to create synthetic data using LangChain and OpenAI models.

Synthetic data refers to artificially generated data that imitates the characteristics of real data without containing any information from actual individuals or entities. It is typically created through mathematical models, algorithms, or other data generation techniques. Synthetic data can be used for a variety of purposes, including testing, research, and training machine learning models, while preserving privacy and security

Happy Learning 😎

👉🏼 Links:

GitHub repo: https://github.com/sudarshan-koirala/...
LangChain documentation: https://python.langchain.com/docs/use...

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🔗 🎥 Other videos you might find helpful:

🔥 Databricks playlist:    • 30 Days Of DataBricks  

⛓️ Langflow:    • ⛓️ langflow | UI For 🦜️🔗 LangChain  
⛓️ Flowise:    • Flowise | UI For 🦜️🔗 LangChain  

🔥Chainlit playlist:    • Chainlit  

🦜️🔗 LangChain playlist:    • LangChain  

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#langchian #llm #synthetic #syntheticdata #datasciencebasics