Generative AI (GenAI) has found an unexpected “partner” in a type of information technology that CIOs tend not to prioritize for AI – enterprise storage. Because data is central to the activation and ...

Retrieval-augmented generation (RAG) has become a go-to architecture for companies using generative AI (GenAI). Enterprises adopt RAG to enrich large language models (LLMs) with proprietary corporate ...

WALTHAM, Mass., Nov. 15, 2024 — Infinidat, a leading provider of enterprise storage solutions, has announced its Retrieval-Augmented Generation (RAG) workflow deployment architecture to enable ...

Intel empowers GenAI developers and athletes around the globe with open and accessible AI systems. Why It Matters: Deploying GenAI solutions poses challenges like cost, scale, accuracy, development ...

Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform ...

Infinidat has launched a retrieval augmented generation (RAG) workflow architecture, deliverable as a consultancy service to its storage customers, which allows them to build in up-to-date, private ...

NEW YORK--(BUSINESS WIRE)--Hyperscience, a market leader in hyperautomation and a provider of enterprise AI infrastructure software, today announced a new solution that ushers the back office into the ...

Securing access to the web, cloud services, and private applications is an imperative for all enterprises. As organizations increasingly adopt hybrid work models, cloud-first strategies, and genAI ...

COMMISSIONED: Whether you’re using one of the leading large language models (LLM), emerging open-source models or a combination of both, the output of your generative AI service hinges on the data and ...

How the GenAI RAG Solution Architecture Works: Intel works with industry partners to create an open source, interoperable solution for easy RAG deployment. The GenAI solution is an industry-driven, ...