the-decoder

Physical Intelligence shows robot model with LLM-like generalization, flaws included

US start-up Physical Intelligence has introduced π0.7, a new robot foundation model designed to recombine skills learned during training, similar to how a language model reassembles text fragments ...
IEEE

Progressive Multiscale Generator for Domain Generalization in Hyperspectral Image Classification with Small Sample

Abstract: Domain generalization-based hyperspectral image classification methods have achieved promising results in recent years. However, these studies seldom consider the issue of small sample in ...
Security Boulevard

Corrupting LLMs Through Weird Generalizations

Weird Generalization and Inductive Backdoors: New Ways to Corrupt LLMs. Abstract LLMs are useful because they generalize so well. But can you have too much of a good thing? We show that a small amount ...
marktechpost

Dynamic Fine-Tuning (DFT): Bridging the Generalization Gap in Supervised Fine-Tuning (SFT) for LLMs

Supervised Fine-Tuning (SFT) is a standard technique for adapting LLMs to new tasks by training them on expert demonstration datasets. It is valued for its simplicity and ability to develop ...
Futurism

AI Chatbots Are Becoming Even Worse At Summarizing Data

Ask the CEO of any AI startup, and you’ll probably get an earful about the tech’s potential to “transform work,” or “revolutionize the way we access knowledge.” But according to a new study published ...
westernu.ca

Expert insight: How AI might worsen medicine’s over-generalization problem

In medicine, there’s a well-known maxim: never say more than your data allows. It’s one of the first lessons learned by clinicians and researchers. Journal editors expect it. Reviewers demand it. And ...
The Conversation

Medicine’s over‑generalization problem — and how AI might make things worse

In medicine, there’s a well-known maxim: never say more than your data allows. It’s one of the first lessons learned by clinicians and researchers. Journal editors expect it. Reviewers demand it. And ...
Psychology Today

Generalization: The Magic Sauce in Learning From Video Games

If you want to improve your aerobic capacity, play full-court basketball, not softball. To improve your analytical skills, learn to play chess or bridge, not Chutes and Ladders. If you really want to ...
IEEE

Domain Adversarial Active Learning for Domain Generalization Classification

Abstract: Domain generalization (DG) tasks aim to learn cross-domain models from source domains and apply them to unknown target domains. Recent research has demonstrated that diverse and rich source ...