"retrieval-augmented generation"

Since LLMs can now automatically rewrite our inputs into clear, effective prompts, the main complexity lies in shifting the levels.

Discussions often focus on hallucinations, but institutions frequently encounter a different challenge altogether: fragmented knowledge.

Meta, OpenAI and SpaceXAI all cut model prices in eight days. Enterprise agent bills still rise, because the rate card is only one term in t...

For each AI system making operational decisions in your organization, what does it know about the world outside your own data?

The narrative that RAG is dead has been repeated by enough credible voices that many engineering leaders have started to believe it.

How does artificial intelligence use tokens, and should we be worried that AI now has claws? Here's a quick primer on the vocabulary of toda...

Organizations need people who can turn AI capability into secure, measurable, governed production systems.

As AI agents take on higher-stakes customer interactions, organizations are discovering that trust, accuracy and governance—not automation a...

Today, there are several AI engineer roles that require fundamentally different skill sets, workflows and operating models.​

Learn how to fact check AI with tips and techniques to verify accuracy, avoid hallucinations, and ensure reliable information from tools lik...

For eDiscovery, it's important to understand which problems foundation models solve brilliantly and which problems require purpose-built app...