A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

The AI race is entering a new phase, with a sharp pivot from the brute-force scaling of training data to the strategic amplification of models after training. Recent disclosures around xAI’s Grok 4 ...

Raytheon UK’s CTO, training transformation services, anticipates metacognition will create safer training data.

1. Prepare the Data. The first step in training an AI model is preparing your data by collecting, cleaning, and preprocessing the information you will use to train the model.

"Model collapse is a degenerative process affecting generations of learned generative models, in which the data they generate end up polluting the training set of the next generation," Shumailov's ...

Basically, as an AI model cannibalizes AI-generated data, its outputs become increasingly bizarre, garbled, and nonsensical, as if synthetic data — as opposed to high-quality, human-made ...

Unstructured, which preps sloppy data for LLM training, has raised $40 million at a $230 million valuation.

OpenAI released GPT-4 on Tuesday, but while touting its new capabilities the company also said it wasn’t planning to share what kind of data went in to training the model. Image: Daniel Chetroni ...

Days after Elon Musk-owned X updated its terms to explicitly prohibit AI model training, decentralized social network Mastodon updated its own rules to bar any kind of model training, as well.

The results were the first that MLCommons has released about how chips fared at training AI systems such as Llama 3.1 405B, an open-source AI model released by Meta Platforms , opens new tab that ...

In these areas, the model performed better than even specialized image captioning models (e.g. Flamingo, OpenFlamingo) despite seeing less text in its training data, Meta claims. But what about bias?