EDITORIAL SUBJECT
Generative AI applications, agents, prompting, evaluation and reliable model integration.
FROM THE EDITORIAL LIBRARY
Tool-using AI applications promise to connect natural-language requests with real business workflows. That promise is useful only when the boundaries are engineered carefully. A model […]
Read articleGenerative AI can produce fluent language, code, images and other content without guaranteeing that the result is accurate, authorized, or fit for a business decision. […]
Read articleThe practical challenge in Google’s AI portfolio is not memorizing every product name. It is recognizing whether a business needs employee productivity, source-grounded research, customized […]
Read articleGenerative AI strategy begins with a business process, not a model announcement. Leaders often see convincing demonstrations and assume productivity improvements will automatically appear when […]
Read articleRetrieval-augmented generation can make an assistant more useful by supplying relevant organization-specific information to a model at question time. It can also create a persuasive […]
Read articleConsider an engineering assistant asked whether a software release can proceed under a company’s change policy. The policy library contains the current approval rules, a […]
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