
Does Your Model Comply With the AI Act?: COMPL-AI study measures LLMs’ compliance with EU’s AI act
A new study suggests that leading AI models may meet the requirements of the European Union’s AI Act in some areas, but probably not in others.

A new study suggests that leading AI models may meet the requirements of the European Union’s AI Act in some areas, but probably not in others.

A new study suggests that leading AI models may meet the requirements of the European Union’s AI Act in some areas, but probably not in others.

API commands for Claude Sonnet 3.5 enable Anthropic’s large language model to operate desktop apps much like humans do. Be cautious, though: It’s a work in progress.

API commands for Claude Sonnet 3.5 enable Anthropic’s large language model to operate desktop apps much like humans do. Be cautious, though: It’s a work in progress.

Training successive neural networks on the outputs of previous networks gradually degrades performance. Will future models succumb to the curse of recursive training?

Training successive neural networks on the outputs of previous networks gradually degrades performance. Will future models succumb to the curse of recursive training?

The universe of web pages includes correct answers to common questions that are used to test large language models. How can we evaluate new models if they’ve studied the answers before we give them the test?

The universe of web pages includes correct answers to common questions that are used to test large language models. How can we evaluate new models if they’ve studied the answers before we give them the test?

Researchers devised a way to cut the cost of training video generators. They used it to build a competitive open source text-to-video model and promised to release the training code.

Researchers devised a way to cut the cost of training video generators. They used it to build a competitive open source text-to-video model and promised to release the training code.

Mistral AI launched two models that raise the bar for language models with 8 billion or fewer parameters, small enough to run on many edge devices.

Mistral AI launched two models that raise the bar for language models with 8 billion or fewer parameters, small enough to run on many edge devices.

Text embedding models are often used to retrieve text, cluster text, determine similarity between texts, and generate initial embeddings for text classifiers. A new embedding model comes with adapters that specialize it to each of these use cases.

Text embedding models are often used to retrieve text, cluster text, determine similarity between texts, and generate initial embeddings for text classifiers. A new embedding model comes with adapters that specialize it to each of these use cases.

Researchers probed the black market for AI services that are designed to facilitate cybercrime.
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