|
You are here |
onlim.com | ||
| | | | |
www.k2view.com
|
|
| | | | | Retrieval-augmented generation is an AI framework that improves LLM accuracy. Learn how to inject enterprise data into LLMs for more reliable responses. | |
| | | | |
github.com
|
|
| | | | | Retrieval Augmented Generation (RAG) on audio data with LangChain - AssemblyAI-Community/rag-langchain-audio-data | |
| | | | |
ninkovic.dev
|
|
| | | | | First part in the blog series of how to build a RAG (Retrieval Augmented Generation) system from scratch. Aimed at beginners, the blog will introduce you to foundational concepts and pieces which are needed to build such a system. The blog comes with code and step by step implementation. | |
| | | | |
www.virtualtelescope.eu
|
|
| | | [AI summary] The article discusses an upcoming celestial event where the Moon and Mars will align on February 9, 2025, and mentions related astronomical events such as asteroid encounters and a supernova anniversary. | ||