10 GenAI Notebooks: OpenAI, LLM, RAG, GPT, and More

For developers and AI/ML professionals. This comprehensive resource is designed to provide you with hands-on experience and deeper insights into building cutting-edge GenAI applications.

Special Opportunity: You can win a pair of Apple Airpods simply by following the tutorial and learning something new.

How to Participate:

1. Access the Code Notebooks and explore its contents.

2. Complete one of the Notebook below from start to finish, by December 10 (to start, click on "Try It Now" when checking out the notebook of your choice).

That's it! By completing the Notebook, you'll not only gain valuable skills but also enter the draw to win Apple Airpods. The winner will be announced shortly after the contest ends.

Notebooks:

1. How to Build LLM Apps that can See, Hear, and Speak: https://mltblog.com/49R0lgH

2. Image Matching with SQL: https://mltblog.com/3GoNRiQ

3. Build a Simple Movie Recommender System: https://mltblog.com/3sXzK0Q

4. Working with Vector Data (Numpy, Pandas, SQL Alchemy): https://mltblog.com/3t570Dd

5. Launching Open-Source Apps with LangChain: https://mltblog.com/49Yvper

6. Semantic Search with OpenAI Embedding Creation: https://mltblog.com/3RpiCKT

7. Kafka Pipelines and Query Tuning: https://mltblog.com/3RpZ3lI

8. Resume Evaluator with OpenAI's LLM: https://mltblog.com/3T1TISL

9. Getting Started with DataFrames in SingleStoreDB: https://mltblog.com/46z5ebi

10. Building a Retrieval Augmented Generation (RAG) Application: https://mltblog.com/3N8ufmI

Best of luck, and happy coding!