Open Source Generative AI in Question-Answering (NLP) using Python
Generative question-answering focuses on the generation of multi-sentence answers to open-ended questions. It usually works by searching massive document stores for relevant information and then using it to generate answers synthetically. This tutorial demonstrates how to build a question-answering system using generative AI.
🌲 Pinecone example:
https://github.com/pinecone-io/exampl...
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00:00 What is generative AI and Q&A?
01:02 Generative question-answering architecture
04:36 Getting code and prerequisites
05:06 Data preprocessing
07:41 Embedding and indexing text
13:50 BART text generation model
14:52 Querying with generative question-answering
17:45 Asking questions and getting results
21:29 Final notes