Generative AI

Apple is thinking small — very small — with a new family of open large language models.

Video diffusion provides a new basis for generating 3D models.

A new breed of audio generator produces synthetic performances of songs in a variety of popular styles.

Retrieval-augmented generation (RAG) enables large language models to generate better output by retrieving documents that are relevant to a user’s prompt. Fine-tuning further improves RAG performance.

Language models can generate code that erroneously points to software packages, creating vulnerabilities that attackers can exploit.

The CEO of Stability AI resigned as the company faces an increasingly competitive market.

Large language models sometimes generate false statements. New work makes them more likely to produce factual output.

Synthetic depictions of politicians are taking center stage as the world’s biggest democratic election kicks off.

India advised major tech companies to seek government approval before they deploy new AI models.

Anthropic announced a suite of large multimodal models that set new states of the art in key benchmarks.

Google is paying newsrooms to use a system that helps transform press releases into articles.

Google asserted its open source bona fides with new models. Google released weights for Gemma-7B, an 8.5 billion-parameter large language model intended to run GPUs, and Gemma-2B, a 2.5 billion-parameter version intended for deployment on CPUs and edge devices.

An update of Google’s flagship multimodal model keeps track of colossal inputs, while an earlier version generated some questionable outputs.

OpenAI’s new video generator raises the bar for detail and realism in generated videos — but the company released few details about how it built the system.

The longer text-to-image models train, the better their output — but the training is costly. Researchers built a system that produced superior images after far less training.