The security platform built specific large lineage models (LLiMs) to track data lifecycles across users and endpoints and detect shadow AI.

Zencoder uses a pipeline (see diagram and screenshot below) rather than just a large language model (LLM) to perform its ... database in the cloud for use in RAG queries. It also creates the ...

A typical RAG model includes an LLM as parameterized memory and a retriever that accesses ... Then, hybrid retrieval is performed to recall the first K knowledge segments that are most Figure 1 ...

All the large language model (LLM) publishers and suppliers are focusing on the advent of artificial intelligence (AI) agents ...

Google researchers refine RAG by introducing a sufficient context signal to curb hallucinations and improve response accuracy ...

I challenged all those vendors with a grueling question on RAG and LLM evaluation, but only one of them had a good answer (Galileo, via their "Evaluation Intelligence" platform). After that, I kept ...

Advantages of RAG include its ability to handle vast knowledge bases, support dynamic updates, and provide citations for ...