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 ...
Microsoft4d
Common retrieval augmented generation (RAG) techniques explained
Because the content is numeric rather than plain text, matching is based on vectors that are most similar to the query vector, enabling search matching for: With the rise of generative AI applications ...
GitHub3d
Retrieval-Augmented Generation (RAG) System
The system uses FastAPI for API development, LangChain for RAG implementation, Ollama for local LLM deployment, and Docker for containerization. The document chunks are stored in a vector store ...
JD Supra2d
Private LLMs vs. RAG Systems? Choosing the Right AI Strategy for Your Legal Organization
As law firms and legal departments race to leverage artificial intelligence for competitive advantage, many are contemplating ...
Control Global13h
The AI reality: Part 1
AI does a good job of consuming various types of disparate text data in a prompt, generating a summary. This is the so-called ...
Mint2d
India begins to design own AI chip. The tougher part comes next
New Delhi: India has taken the first step to develop an AI chip from the ground-up to substitute Nvidia’s powerful processors, which have shaken up the global tech landscape and re-established ...
unite3d
The Future of RAG-Augmented Image Generation
Generative diffusion models like Stable Diffusion, Flux, and video models such as Hunyuan rely on knowledge acquired during a single, resource-intensive training session using a fixed dataset. Any ...