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πŸ”΅ Question Answering Leveraging Large Language Models

Devtoberfest

In this session you will learn how to enhance ChatGPT with context specific knowledge. A set of custom documents will be used to extract relevant texts for the user query. These texts are provided as β€œprompts” to ChatGPT. Using this approach, ChatGPT can give more concise answers to questions in a specific domain without the need of expensive fine-tuning.

πŸ‘‰After the session, complete the following tutorial so you can earn points for the amazing Devtoberfest contest: https://developers.sap.com/tutorials/devtoberfest2023-week3-data-ai-qa-llms.html



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5 Comments
abulehtesham
Explorer

Thank you Karim and @noravonthenen for the informative session on RAG and the insightful use of Langchain. I'm eagerly looking forward to accessing the Git repository and learning the steps to create a knowledge base and embedding. Your presentation was engaging and valuable!

KarimM
Product and Topic Expert
Product and Topic Expert

the repo is available now:
https://github.com/karimmohraz/rag-movieplots
In order to improve the answers I am looking to use a model like mistral.
If you have a ChatGPT key you could also use that as "llm", which can be fed into langchatin.

abulehtesham
Explorer

Thank you @KarimM . Yes, I have the API key.

KarimM
Product and Topic Expert
Product and Topic Expert
abulehtesham
Explorer

nice!