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🔵 Question Answering Leveraging Large Language Models

noravonthenen — Thu, 05 Oct 2023 09:33:14 GMT

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 “prompts” to ChatGPT. Using this approach, ChatGPT can give more concise answers to questions in a specific domain without the need of expensive fine-tuning.

👉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

Re: 🔵 Question Answering Leveraging Large Language Models

abulehtesham — Sun, 08 Oct 2023 23:19:59 GMT

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!

Re: 🔵 Question Answering Leveraging Large Language Models

KarimM — Mon, 09 Oct 2023 11:53:07 GMT

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.

Re: 🔵 Question Answering Leveraging Large Language Models

KarimM — Mon, 09 Oct 2023 12:08:54 GMT

Here is a post on how to deploy LLaMa2 on the SAP AI Core:
https://blogs.sap.com/2023/07/28/running-language-models-deploy-llama2-7b-on-ai-core/comment-page-1/#comment-691386

Re: 🔵 Question Answering Leveraging Large Language Models

abulehtesham — Tue, 10 Oct 2023 02:25:02 GMT

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

Re: 🔵 Question Answering Leveraging Large Language Models

abulehtesham — Tue, 10 Oct 2023 02:25:22 GMT

nice!