Generative AI

Previous systems that produce a talking-head video from a photo and a spoken-word audio clip animate the lips and other parts of the face separately.

A slimmed-down version of Open AI’s multimodal flagship packs a low-price punch.

Large language models can produce output that’s convincing but false. Researchers proposed a way to identify such hallucinations. 

An arena-style contest pits the world’s best text-to-image generators against each other.

The word “open” can mean many things with respect to AI. A new paper outlines the variations and ranks popular models for openness.

A judge rejected key claims in a lawsuit by developers against GitHub, Microsoft, and OpenAI, the first decision in a series of court actions related to generative AI.

Low-rank adaptation (LoRA) reduces memory requirements when fine-tuning large language models, but it isn’t as conducive to pretraining.

Claude 3.5 Sonnet lets users work on generated outputs as though they were independent files — a step forward in large language model user interfaces.

The technique of model merging combines separate models into a single, more capable model without further training, but it requires expertise and manual effort. Researchers automated the process.

Advances in video generation have spawned a market for lifelike avatars of deceased loved ones.

An AI startup that aims to crack markets in southern Asia launched a multilingual competitor to GPT-4.

Generative adversarial networks (GANs) produce images quickly, but they’re of relatively low quality. Diffusion image generators typically take more time, but they produce higher-quality output. Researchers aimed to achieve the best of both worlds.

Is your song’s verse in need of a chorus? A popular text-to-music generator can extend existing recordings while maintaining their musical character.

A trio of powerful open and semi-open models give developers new options for both text and image generation. 

Sonically minded developers gained a high-profile text-to-audio generator.