Is Synthetic Data The Future of AI? (And How To Make Your Own)

Language model’s text generating skills have hit a point where the quality is good enough to start using as synthetic data for other LLMs- Literally LLMs teaching LLMs! In this video we go over why synthetic data is useful for modern day AI, how language models are being optimized through generated data, and how to make your own using GPT-4o and LangChain.

Resources:
Code: https://github.com/ALucek/synthetic-d...
What Is Synthetic Data: https://research.ibm.com/blog/what-is...
Will We Run out of Data Paper: https://arxiv.org/pdf/2211.04325v2
Generative AI for Synthetic Data Generation Paper: https://arxiv.org/pdf/2403.04190v1
LangChain Data Generation: https://python.langchain.com/v0.2/doc...

Fun Reads:
Addressing Medical Imaging Limitations: https://developer.nvidia.com/blog/add...
Using Synthetic Data to Address Novel Viewpoints: https://developer.nvidia.com/blog/usi...

Chapters:
00:00 - Intro
00:45 - What is Synthetic Data
01:22 - Are We Running Out of Data?
03:20 - Why Synthetic Data for LLMs
04:21 - Using GenAI for Synthetic Data
06:00 - Additional Uses for Synthetic Data
08:09 - Code: LangChain & LLMs for Synthetic Data
08:26 - Code: Defining a Data Model
09:45 - Code: Few Shot Prompting
11:31 - Code: Generating Synthetic Data
12:54 - Code: Saving our Synthetic Data
13:48 - Outro

#ai #data #programming