As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

Anthropic introduces a new AI job disruption tracker to measure how automation from large language models could affect occupations and workforce trends over time.

All the benefits of plugins with none of the downsides.

Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

Two days to a working application. Three minutes to a live hotfix. Fifty thousand lines of code with comprehensive tests.

Alarm bells are ringing in the open source community, but commercial licensing is also at risk Earlier this week, Dan Blanchard, maintainer of a Python character encoding detection library called ...

Last year, US banks used real-time machine learning to flag over 90 percent of suspected fraud, yet almost half of chargeback disputes were still managed manual ...

Discover the hidden dangers of sycophantic AI. Learn why chatbots prioritize flattery over facts, the risks of delusional spiraling, and how to stop LLMs from simply telling you what you want to hear.

Discover CoPaw, the open-source personal AI assistant from Alibaba's AgentScope team. Learn how its ReMe memory system, local ...

OpenAI, Google, and Alibaba unveil faster, cheaper AI models built for real-time apps and local devices, signaling a shift from AI power to speed and efficiency.

The DNA foundation model Evo 2 has been published in the journal Nature. Trained on the DNA of over 100,000 species across ...