The ability to update language models is essential to incorporate new information and correct undesirable behaviors. Previous methods are unwieldy and often fail as the amount of new data increases. New work offers a workaround.

An online marketplace enables people to buy text prompts designed to produce consistent output from the new generation of text-to-image generators.

When a neural network learns image labels, it may confuse a background item for the labeled object. New research avoids such mistakes.

The filmmakers used technology from Flawless AI to clean up the language, enabling the film to earn a rating that welcomes younger viewers.

A new machine learning method attempts to account for biases that may be held by certain subsets of labelers.

A worldwide collaboration produced the biggest open source language model to date. BLOOM is a family of language models built by the BigScience Research Workshop, a collective of over 1,000 researchers from 250 institutions around the globe.

You can reduce your model’s carbon emissions by being choosy about when and where you train it.

A homebrew re-creation of OpenAI’s DALL·E model is the latest internet sensation. Craiyon has been generating around 50,000 user-prompted images daily, thanks to its ability to produce visual mashups like Darth Vader ice fishing and photorealistic Pokemon characters.

Microsoft tightened the reins on both AI developers and customers.What’s new: The tech titan revised its Responsible AI Standard and restricted access to some AI capabilities accordingly.

Machine learning is helping lawyers sift through mountains of documents to find evidence. The legal technology company Everlaw launched a clustering feature that automatically organizes up to 25 million documents for lawyers gathering evidence to be used during a trial.

A new benchmark aims to raise the bar for large language models. Researchers at 132 institutions worldwide introduced the Beyond the Imitation Game benchmark (BIG-bench), which includes tasks that humans perform well but current state-of-the-art models don’t.

Adding layers to a neural network puts the “deep” in deep learning, but it also increases the chance that the network will get stuck during training. A new approach effectively trains transformers with an order of magnitude more layers than previous methods.

A chatbot persuaded at least one person that it has feelings. A senior engineer at Google announced his belief that the company’s latest conversational language model is sentient.

OpenAI’s text-to-image generator DALL·E 2 produces pictures with uncanny creativity on demand. Has it invented its own language as well? Ask DALL·E 2 to generate an image that includes text, and often its output will include seemingly random characters.

AI startups are helping writers tailor articles that appear near the top of Google’s search results. At least 14 companies sell access to software that uses GPT-3, the language model from OpenAI, to generate headlines, product descriptions, blog posts, and video scripts.