Generative AI | News, how-tos, features, reviews, and videos
The history of open source is not a straight line toward total openness. The value in AI will come from proprietary guardrails, agents, and data.
Four big lessons, seven practical tips, three useful patterns, and five common antipatterns we learned from building an AI CRM.
Azure Copilot’s six new AI agents assist with a wide range of Azure cloud management tasks, either on their own or working together.
The Gemini API improvements include simpler controls over thinking, more granular control over multimodal vision processing, and ‘thought signatures’ to improve function calling and image generation.
For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered applications and agents.
Soon AI agents will be writing better, cleaner code than any mere human can, just like compilers can write better assembly.
Two-thirds price reduction and enhanced capabilities target software development and compliance teams as competition intensifies.
The model can interpret on-screen visuals, automate tasks directly on the device, and give enterprises a more affordable alternative to cloud-dependent AI agents.
Developers need to master cloud-native strategies, such as microservices, containers, and orchestration, to unlock AI’s full business potential.
Updated AI model for coding, agents, and computer use is meaningfully better at everyday tasks like deep research and working with slides and spreadsheets, Anthropic said.