AI-written critiques help humans notice flaws
We trained “critique-writing” models to describe flaws in summaries. Human evaluators find flaws in summaries much more often when shown our model’s critiques. Larger models are better at self-critiquing, with scale improving critique-writing more than…
Taking Datasets, DataLoaders, and PyTorch’s New DataPipes for a Spin
The PyTorch team recently announced TorchData, a prototype library focused on implementing composable and reusable data loading utilities for PyTorch. In…
Generalized Visual Language Models
Processing images to generate text, such as image captioning and visual question-answering, has been studied for years. Traditionally such systems rely on an object detection network as a vision encoder to capture visual features and then produce text …
Meet A Teenage Lionel Messi
We’re already halfway through the year. And we can’t help but feel amazed by everything that’s happened in AI in just six months. Take this week’s lead story as the perfect example. It rewinds the clock to see a young Leo Messi in his teenage years on his way to Barcelona for the first time […]
Artykuł Meet A Teenage Lionel Messi pochodzi z serwisu DLabs.AI.
Techniques for training large neural networks
Large neural networks are at the core of many recent advances in AI, but training them is a difficult engineering and research challenge which requires orchestrating a cluster of GPUs to perform a single synchronized calculation.
Singapore develops Asia’s first AI-based mobile app for shark and ray fin identification to combat illegal wildlife trade
The post Singapore develops Asia’s first AI-based mobile app for shark and ray fin identification to combat illegal wildlife trade appeared first on The AI Blog.