Generative AI | News, how-tos, features, reviews, and videos
The updates include the addition of new foundation models along with vector capabilities for several databases.
Amazon has added generative AI capabilities to Lex, its chatbot development tool.
The high costs of development and training and the lack of pricing transparency put commercial large language models out of reach for many companies. Open source models could change that.
Billionaires’ promises of a utopian AI future aren’t helping us solve the serious problems with today’s generative AI models. Security is top of the list.
Microsoft’s cloud-based AI development environment, now in public preview, takes a more streamlined approach to building AI-powered applications.
Survey of enterprise users of generative AI finds rapid adoption but also hurdles, with difficulty finding business use cases, legal uncertainties, and high infrastructure costs top concerns.
By making cryptic machine data human readable, generative AI will dramatically reduce the time and energy IT teams spend on managing and interpreting data generated by operational systems.
Large language models trained on questionable stuff online will produce more of the same. Retrieval augmented generation is one way to get closer to truth.
Predictions are the ability to see the continuation of existing patterns. Yes, genAI is on the list, as well as the talent crunch and the partnership between business and IT.
SaaS-based low-code tool allows users to customize Microsoft Copilot for Microsoft 365 and build standalone AI assistants that connect to other business data.