Databricks' Instructed Retriever beats traditional RAG data retrieval by 70% — enterprise metadata was the missing link

Instructed Retriever leverages contextual memory for system-level specifications while using retrieval to access the broader ...
CIO Applications

The Next Era of Enterprise AI: Powered by Retrieval

Widespread amazement at Large Language Models' capacity to produce human-like language, create code, and solve complicated ...
InfoWorld

Retrieval-augmented generation, step by step

RAG is a pragmatic and effective approach to using large language models in the enterprise. Learn how it works, why we need it, and how to implement it with OpenAI and LangChain. Typically, the use of ...
Semiconductor Engineering

HW-Accelerated Physical AI Framework For Resource-Constrained Edge Devices (ASU)

A new technical paper titled “Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics” was ...