We use smaller language models as generative classifiers to guide generation from larger language models. We show that this method can make generations friendlier, reduce bias and toxicity, and achieve zero-shot controllable generation of unseen topics.
TL; DR: We propose a new webly-supervised learning method which achieves state-of-the-art representation learning performance by training on large amounts of freely available noisy web images. Deep neural networks are known to be…
Getting AI right is difficult, but more important than ever. Here's how companies can commit to creating and implementing AI responsibly and ethically.
This post is from Martin Kihn, SVP Strategy, Salesforce Marketing Cloud. It’s part of our Moment Makers series, which takes a deep dive into how marketers use technology to build data-driven customer experiences…
We introduce Photon, a live demo of natural language interface to databases based on our latest research in neural semantic parsing. 🔗 https://naturalsql.com/