Presented by:

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Denis Magda

Yugabyte

Denis started his software engineering career at Sun Microsystems and Oracle, where he built JVM/JDK and led one of the Java development groups. After learning Java from the inside, he joined the world of distributed systems and databases, where he has remained ever since. His experience spans from the development of database engines and high-performance applications to training and education on the topic of distributed applications.

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OpenAI's GPT neural network can be enhanced and customized with plugins. For instance, the Expedia plugin arms the AI with current data on lodging prices and availability, allowing users to book their next trip directly through the ChatGPT interface.

In this session, you'll gain practical experience with large language models (LLMs) by creating a Postgres-backed plugin for the OpenAI platform from the ground up. We'll start with the basics, creating a generative AI application that uses the OpenAI GPT model and Postgres pgvector extension for a variety of natural language processing (NLP) tasks. We'll then enhance the application's responsiveness and the quality of the LLM-generated responses by building a retrieval-augment generation (RAG) pipeline with Postgres as a core component. Finally, we’ll discover how to launch and monetize your Postgres-backed plugin on the OpenAI platform, making it accessible to millions of users.

Date:
2024 April 19 11:00 PDT
Duration:
50 min
Room:
San Carlos
Conference:
Postgres Conference 2024
Language:
English
Track:
Dev
Difficulty:
Intermediate