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What is Retrieval Augmented Generation (RAG)?

Pickl AI

By leveraging external knowledge sources, RAG enhances the accuracy and relevance of AI outputs, making it essential for applications like conversational AI and enterprise search. This hybrid model addresses the limitations of traditional generative systems. Below are some key use cases where RAG shines.

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From Deep Knowledge Tracing to DKT2: A Leap Forward in Educational AI

Marktechpost

However, recent advancements in deep sequential KT models, such as Attentive Knowledge Tracing (AKT), have increasingly prioritized predictive performance over practical applicability and comprehensive knowledge modeling. Also,dont forget to follow us on Twitter and join our Telegram Channel and LinkedIn Gr oup.