Explore the world of Generative Question-Answering (GQA) using OpenAI's GPT-3.5 and Davinci models in this informative 24-minute video tutorial. Learn how to create human-like interactions and information retrieval systems with machines. Dive into an example application, understand the OpenAI Pinecone stack architecture, and discover techniques for dealing with Large Language Model (LLM) hallucination. Follow along as the tutorial covers data indexing, querying processes, and answer generation. Witness practical demonstrations of generative question-answering in action and gain valuable insights through final notes. Perfect for those interested in artificial intelligence, machine learning, and deep learning applications in natural language processing.
Overview
Syllabus
Generative Question Answering with OpenAI
Example App for Generative QA
OpenAI Pinecone Stack Architecture
Dealing with LLM Hallucination
Indexing all data
Querying
Generation of answers
Testing some generative question answers
Final notes
Taught by
James Briggs
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