DeepSeek’s R1 and OpenAI’s Deep Research just redefined AI — RAG, distillation, and custom models will never be the same
Things are moving quickly in AI — and if you’re not keeping up, you’re falling behind. Two recent developments are reshaping the landscape for developers and enterprises ali ...
marktechpost6d
Creating a Medical Question-Answering Chatbot Using Open-Source BioMistral LLM, LangChain, Chroma’s Vector Storage, and RAG: A Step-by-Step Guide
We’ll then encode these chunks using Hugging Face embeddings, capturing deep semantic relationships and storing them in a Chroma vector ... LLM for response generation, and finally, the ...
Geeky Gadgets25d
Easily Train Business AI Assistants and LLM Knowledge Bases by Scraping Your Website
This fine tuning workflow allows you to quickly and efficiently train AI assistant models and create large language model (LLM ... on RAG techniques, improved integrations with vector databases ...
Hosted on MSN27d
What is RAG in AI? The low-down on Retrieval Augmented Generation
This vector ... RAG is a retrieval wizard, powering smarter AI interactions. After the retrieval phase sets the stage, the generation phase takes the spotlight. This is where the LLM steps in ...
GitHub24d
Retrieval Augmented Generation (RAG) and Vector Databases
About 18 Lessons, Get Started Building with Generative AI 🔗 - AI/15-rag-and-vector-databases/README.md at master · OrangeB3ast/AI About 18 Lessons, Get Started Building with Generative AI 🔗 - ...
GitHub16d
Retrieval Augmented Generation (RAG) and Vector Databases
In this lesson, we will delve further into the concepts of grounding your data in your LLM application ... An introduction to RAG, what it is and why it is used in AI (artificial intelligence).