Generative AI | News, how-tos, features, reviews, and videos
10 quirks, consequences, and questions from an amazing and unsettling year of dizzying AI advances.
Available in an early preview, Microsoft’s AI development environment for the desktop lets you build small language models that run on PCs and mobile devices.
The generative AI technology powering ChatGPT—OpenAI's GPT-3.5 and GPT-4 LLMs—is available to R users, with a growing collection of packages and apps to choose from.
All the worry over technical debt and the risks of cloud vendor lock-in has spread to AI, only the stakes are now much higher.
How we can take advantage of generative AI, common application structures, and systematic code reuse to drive faster and more innovative digital product development.
InfoWorld recognizes the year’s best products in software development, cloud computing, data analytics, AI, and machine learning.
The mantra for computing is to use other people’s technology, so it's surprising that generative AI doesn’t seem to follow that pattern for many enterprises.
Powered by OpenAI and JetBrains models, AI Assistant can explain and refactor code and generate code, commit messages, documentation, and tests.
There is no universal ‘best’ vector database—the choice depends on your needs. Evaluating scalability, functionality, performance, and compatibility with your use cases is vital.
As the big vendors overstate the capabilities of their generative AI projects, maybe it’s time to use open source to keep them honest.