AI models hallucinate, and always will [1]. In some sense this is nothing new: everything has an error rate. But what is new is the nature of AI errors. The output of an AI is plausible by…

Register now free-of-charge to explore this white paper AI is transforming industries - but only if your infrastructure can deliver the speed, efficiency, and scalability your use cases demand. How do…

Impressions on agentic AI progress and the AI-2027 Jobocalypse scenario The post Midyear 2025 AI Reflection appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the…

For many problems with complex context, the LLM’s effective working memory can get overloaded with relatively small inputs — far before we hit context window limits. The post Your 1M+ Context Window…

As a product designer, I have recently been trying to make sense of the rapidly changing AI landscape with both awe and chaos. While Anthropic’s CEO warns that AI could displace up to 50% of entry…

How Meta’s latest breakthrough lets models learn, adapt, and improve — all on their own The post The Age of Self-Evolving AI Is Here appeared first on Towards Data Science. Generated by RSStT. The…

A practical approach to instance segmentation using SOLOv2 and TensorFlow

Language-first workflows may be giving visual thinkers a powerful way to justify their choices — to both machines and people.

“What happens when your only future is being replaced? When the “user experience” we’re designing for is no longer human, but machines talking to machines? It’s getting harder to imagine a world that…

A hands-on guide to building and validating LLM evaluators The post How to Create an LLM Judge That Aligns with Human Labels appeared first on Towards Data Science. Generated by RSStT. The copyright…