Last Updated on November 5, 2023 by Editorial Team
Author(s): Ryan Nguyen
Originally published on Towards AI.
Ways to go from prototype to production with LlamaIndex
Updated: the actual implementation of how to improve the RAG pipeline with different indexing can be found here in my post:
Classic 10k reports with Australian real estate market reports to demonstrate the end-to-end evaluation process
LLMs are a fantastic innovation, but they have one major flaw. They have cut-off knowledge and a tendency to make up facts and create stuff out of thin air. The danger is LLMs always sound confident with the response and we only need to tweak the prompt a little bit to fool LLMs.The RAG is here to resolve this issue. RAG makes LLMs significantly more useful… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI