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Generative Question Answering with OpenAI
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Example App for Generative QA
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OpenAI Pinecone Stack Architecture
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Dealing with LLM Hallucination
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Indexing all data
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Querying
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Generation of answers
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Testing some generative question answers
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Final notes
Description:
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.

Generative Question-Answering with OpenAI's GPT-3.5 and Davinci

James Briggs
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