Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...

Diffusion models are advanced machine-learning algorithms that generate high-quality data by progressively adding noise to a dataset and then learning to reverse this process. Recent studies have ...

Following a string of controversies stemming from technical hiccups and licensing changes, AI startup Stability AI has announced its latest family of image-generation models. The new Stable Diffusion ...

Apple researchers have developed an AI model that recovers detail from raw sensor data that would normally be lost. Here's ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Multi-modal models that can process both ...

Benjamin Franklin once wrote that nothing is certain except death and taxes. Let me amend that phrase to reflect the current AI gold rush: Nothing is certain except death, taxes, and new AI models, ...

AI image generation models have massive sets of visual data to pull from in order to create unique outputs. And yet, ...

Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

Chris Cox told Bloomberg's Tech Summit that Meta is using public Instagram and Facebook photos and text to train its AI image generator.

The data-analysis revolution that turned words into analyzable data continues to progress. Now models are turning images, audio, and visual files into data as well. Large language models can capture ...