Nature

Continual learning of context-dependent processing in neural networks

One of the hallmarks of high-level intelligence is flexibility 1. Humans and non-human primates can respond differently to the same stimulus under different contexts, for example, different goals, ...
Nature

In-context learning enables multimodal large language models to classify cancer pathology images

Medical image classification requires labeled, task-specific datasets which are used to train deep learning networks de novo, or to fine-tune foundation models. However, this process is ...
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 ...
Forbes

Generative AI Becomes Domain Savvy Via In-Context Learning And Advanced Prompt Engineering

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. You would be hard-pressed to say that one or the other is ...
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 ...
Harvard Business Review

Corporate Learning Programs Need to Consider Context, Not Just Skills

Spending on corporate learning, particularly leadership development, continues to increase at a staggering pace. According to one piece of research, spending on frontline leadership development alone ...