Forbes

How RAG Continues To ‘Tailor’ Well-Suited AI

AI solves everything. Well, it might do one day, but for now, claims being lambasted around in this direction may be a little overblown in places, with some of the discussion perhaps only (sometimes ...
VentureBeat

Does RAG make LLMs less safe? Bloomberg research reveals hidden dangers

Retrieval Augmented Generation (RAG) is supposed to help improve the accuracy of enterprise AI by providing grounded content. While that is often the case, there is also an unintended side effect.
Forbes

AI Inferencing Is Growing In Importance—And RAG Is Fueling Its Rise

As the AI infrastructure market evolves, we’ve been hearing a lot more about AI inference—the last step in the AI technology infrastructure chain to deliver fine-tuned answers to the prompts given to ...
Search Engine Land

RAG: The most important AI tool marketers have never heard of

To date, much of the early conversation about putting AI into production at scale has centered on the need for good prompt engineering — the ability to ask the right questions of this powerful ...
Computerworld

Despite its ubiquity, RAG-enhanced AI still poses accuracy and safety risks

Though Retrieval-Augmented Generation has been hailed — and hyped — as the answer to generative AI's hallucinations and misfires, it has some flaws of its own. Retrieval-Augmented Generation (RAG) — a ...
VentureBeat

Ethically trained AI startup Pleias releases new small reasoning models optimized for RAG with built-in citations

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now French AI startup Pleias made waves late ...
Finextra

5 high-ROI uses of RAG models in banking and fintech

General purpose AI tools like ChatGPT often require extensive training and fine-tuning to create reliably high-quality output for specialist and domain-specific tasks. And public models’ scopes are ...