While some business leaders buy large language models, others build their own. Here are five things you need to know.

Key Takeaways Mastering Python, math, and data handling is the foundation of a successful ML career.Real-world projects and ...

Finding new materials with useful properties is a primary goal for materials scientists, and it's central to improving ...

Use the Python version of Google's agent development toolkit to quickly develop AI-powered agents with diverse workflows.

Most AI models are developed behind closed doors with unclear documentation and limited visibility into the training data.

Qdrant Cloud Inference simplifies building applications with multimodal search, retrieval-augmented generation, and hybrid ...

Hugging Face's $299 Reachy Mini leads a DIY robot revolution where open-source humanoids challenge expensive closed-source ...

The Rubin Observatory's enormous datasets call for cloud computing, seven different "brokers" and, indeed, a butler of sorts.

Key Takeaways Courses include real projects that match current industry needsTopics range from AI, cloud, and web dev to Rust ...

Anthropic’s new AI platform promises to do the work of entire finance teams, from market analysis to investment memos. Are ...

In the race to develop AI that understands complex images like financial forecasts, medical diagrams and nutrition labels—essential for AI to operate independently in everyday settings—closed-source ...