Spawning, a startup developing tools to enable creators to assert more control over their works online, is launching new, ostensibly more 'ethical' data sets for AI training.

Image-generating AI models like DALL-E 2 and Stable Diffusion can — and do — replicate aspects of images from their training data, researchers show in a new study, raising concerns as these ...

ML training is highly iterative with each new piece of training data generating trillions of operations. The iterative nature of the training process combined with very large training data sets needed ...

Machine learning’s impact on technology is significant, but it’s crucial to acknowledge the common issues of insufficient training and testing data.

The training set consists of two sets of data: a database of reference sequences, and a taxonomic hierarchy mapped to each of the reference sequences.

The company didn't disclose what training data was used to train Llama 2. That's unusual. The AI industry typically shares many details of AI training data sets.

But AI is not only about large data sets, and research in “small data” approaches has grown extensively over the past decade—with so-called transfer learning as an especially promising example.