Traditional KT models, such as Bayesian Knowledge Tracing (BKT) and early deep learning-based approaches like Deep Knowledge Tracing (DKT), have ... which lowers their efficiency in working with large ...

Our goal is to build a high-performance Knowledge Graph tailored for Large Language Models (LLMs), prioritizing exceptionally low latency to ensure fast and efficient information delivery through our ...

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017. A curated list of the most cited deep learning papers ...

Deep learning is a type of machine learning that learns by looking at lots of examples. In a way, deep learning is how we humans learn new things. For instance, you might teach a toddler to ...

By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning Network Want to learn ...

By The Learning Network We asked students, “What are you thinking and feeling as President Trump returns to power?” By The Learning Network Debates, graphs, writing exercises, art projects ...

A standout feature of Tana is its “Supertag” technology, inspired by Object-Oriented Programming. Supertags allow users to convert unstructured information into organized, structured data within ...

For over two decades, NSHM Business School, Kolkata's premier B-school, has been nurturing future corporate leaders. With a ...