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Now open source, xbench uses an ever changing evaluation mechanism to look at an AI model's ability to execute real-world tasks and make it harder for model makers to train on the tests.
In a head-to-head comparison, o3-pro was far less reliable and secure, and reasoned excessively compared to GPT-4o.
Large language models can generate useful insights, but without a true reasoning layer, like a knowledge graph and graph-based retrieval, they’re flying blind.
The A2A protocol addresses the need for autonomous AI agents to coordinate actions across a wide array of applications and data infrastructure, the Linux Foundation said.
Developers and tech leaders share their risks, rewards, and best practices for integrating AI into the software development lifecycle.
AI initiatives fail for a handful of well-known reasons. Developers, data scientists, and technology leaders hold the keys to keeping them on track.
Generative AI vendors are quickly learning not to ignore developers, or developer experience, in the rush to bring new AI tools to market.
Firecrawl redefines web data acquisition for the AI era, offering developers an enterprise-grade tool kit that abstracts away web scraping complexities.
Why use expensive AI inferencing services in the cloud when you can use a small language model in your web browser?
Reasoning model optimized for cost and speed shines for high throughput tasks like classification or summarization at scale, Google said.
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