IEEE

AID-SQL: Adaptive In-Context Learning of Text-to-SQL with Difficulty-Aware Instruction and Retrieval-Augmented Generation

Abstract: Recent research in Text-to-SQL translation has primarily adopted in-context learning methods leveraging large language models (LLMs), achieving significant progress. However, these methods ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...
winbuzzer.com

AI Memory: Google Research Unveils Nested Learning, a New AI Paradigm to Overcome ‘Catastrophic Forgetting’

Google Research on November 7, 2025, introduced a new machine learning paradigm called Nested Learning, designed to solve catastrophic forgetting in AI models. This long-standing problem causes models ...
marktechpost

Nested Learning: A New Machine Learning Approach for Continual Learning that Views Models as Nested Optimization Problems to Enhance Long Context Processing

How can we build AI systems that keep learning new information over time without forgetting what they learned before or retraining from scratch? Google Researchers has introduced Nested Learning, a ...
TechCrunch

Your public ChatGPT queries are getting indexed by Google and other search engines

Update 7/31/25 4:10pm PT: Hours after this article was published, OpenAI said it removed the feature from ChatGPT that allowed users to make their public conversations discoverable by search engines.
Inside Higher Ed

Practical Use Cases for Learning With VR In Higher Education

As virtual reality technology continues to develop, more colleges and universities are integrating it into the student experience inside and outside of the classroom. A recent survey of chief ...