Discover how an AI text model generator with a unified API simplifies development. Learn to use ZenMux for smart API routing, ...

Testing APIs and applications was challenging in the early devops days. As teams sought to advance their CI/CD pipelines and support continuous deployment, test automation platforms gained popularity, ...

Python project from Andrew Ng provides a streamlined approach to working with multiple LLM providers, addressing a significant pain point in the AI development workflow. The proliferation of large ...

Microsoft announced expanded AI model support in Visual Studio Code through a new Bring Your Own Key (BYOK) capability that lets developers connect models from different providers by entering their ...

Free online resource provides data-driven comparisons of 20+ large language models (LLMs) across key capabilities, including performance, safety, jailbreak resistance, cost, and more SAN FRANCISCO, CA ...

The AI assistant market has exploded. Every few months, we hear about another breakthrough model that promises to revolutionize how we work, create, and solve problems. But as someone who likes to see ...

Performance. Top-level APIs allow LLMs to achieve higher response speed and accuracy. They can be used for training purposes, as they empower LLMs to provide better replies in real-world situations.

Japanese AI lab Sakana AI has introduced a new technique that allows multiple large language models (LLMs) to cooperate on a single task, effectively creating a "dream team" of AI agents. The method, ...

Google DeepMind is rolling out Gemini 2.5 Deep Think, which, the company says, is its most advanced AI reasoning model, able to answer questions by exploring and considering multiple ideas ...

Google has kicked its Gemini rollout into high gear over the past year, releasing the much-improved Gemini 2.5 family and cramming various flavors of the model into Search, Gmail, and just about ...