VentureBeat

Fine-tuning vs. in-context learning: New research guides better LLM customization for real-world tasks

Two popular approaches for customizing large language models (LLMs) for downstream tasks are fine-tuning and in-context learning (ICL). In a recent study, researchers at Google DeepMind and Stanford ...
Hosted on MSN

What is in-context learning in deep learning – simple explanation

Learn the concept of in-context learning and why it’s a breakthrough for large language models. Clear and beginner-friendly explanation. #InContextLearning #DeepLearning #LLMs This is what happens ...
Science Daily

Resolving ambiguity: How the brain uses context in decision-making and learning

Life can be tricky. We have so many decisions to make. It's a good thing we have an orbitofrontal cortex and hippocampus to help us. These areas of the brain work together to help us sort through ...
EdTech

Social-Emotional Learning in the Context of Digital Equity

Victoria Thompson is a K–12 education strategist at CDW Education leading the Southeastern U.S. She is a former K–12 educator, instructional coach and school district leader in South Carolina and ...
EurekAlert!

ProSyno: Context-free prompt learning for synonym discovery

Synonym discovery is important in a wide variety of concept-related tasks, such as entity/concept mining and industrial knowledge graph (KG) construction. It intends to determine whether two terms ...
Psychology Today

Examples of How You Can Use State-Dependent Learning

State-dependent learning (SDL) is the phenomenon that behavior is learned better if your internal mental state is similar during practice and testing of the behavior. It is a powerful ...