Generative AI | News, how-tos, features, reviews, and videos
Microsoft is working to bring open source machine learning models into Azure applications and services.
For data science teams to succeed, business leaders need to understand the importance of MLops, modelops, and the machine learning life cycle. Try these analogies and examples to cut through the jargon.
Developers can now integrate ChatGPT directly, using a token-based pricing system, into a host of different enterprise and end-user applications.
Microsoft’s open source tool helps you write code to work with generative AI, ensuring results give correct information and stay on topic.
How can developers use generative AI to write better code, increase productivity, and meet high user expectations?
Forthcoming Tabnine Enterprise feature, now in beta, uses artificial intelligence to generate unit tests for Python, Java, and JavaScript code.
All the people using DALL-E to create images or letting ChatGPT write their term papers are eating up a lot of cloud resources. Who’s going to pay for all this?
After decades of speculation, real-world artificial intelligence has finally hit a tipping point. Now that we know what AI models like ChatGPT and DALL-E can do, should we be worried?
This alternative to training with huge data sets has potential for business, but data science teams will need to spend time on research and experimentation.