Why AI language models choke on too much text
Large language models represent text using tokens, each of which is a few characters. Short words are represented by a single token (like "the" or "it"), whereas larger words may be represented by ...
labs.sogeti25d
Building advanced RAG systems: Part 1
Other document elements like tables, diagrams and graphs often become an incoherent jumble of symbols and text which is unusable by the LLM. The downstream effect is that RAG systems perform well ...
Contextual AI launches RAG 2.0 platform to aid in the development of domain-specific AI agents
The new platform is based on an improved version of the company’s technology, known as RAG 2.0, which debuted last year. The ...
Yahoo8d
What is RAG in AI? The low-down on Retrieval Augmented Generation
Finally, The LLM provides a polished, personalized answer, with real-time data. An AI face in profile against a digital background. RAG isn’t just for tech geeks - it’s revolutionizing ...
TechRadar9d
What is RAG in AI? The low-down on Retrieval Augmented Generation
Finally, The LLM provides a polished, personalized answer, with real-time data. RAG isn’t just for tech geeks - it’s revolutionizing customer support too. By pulling in detailed product info ...
Forbes7d
Powering LLMs: Four Considerations When Building A Data Infrastructure
RAG involves leveraging an external knowledge base to enhance the outputs of an LLM. By retrieving relevant information based on the input prompt, RAG can generate more accurate and informative ...