Foundations of AI: Knowledge-Based Agents and Logic
Explore the building blocks of classic AI reasoning, from knowledge bases and logic to how systems draw new conclusions from existing knowledge.
Machine-Learning
QuAC: Question Answering in Context Dataset
QuAC introduces a conversational QA dataset that models student-teacher interactions, creating context-dependent questions that test systems’ ability to understand dialogue and resolve references.
CoQA Dataset: Advancing Conversational Question Answering
CoQA extends question answering beyond isolated questions to conversations that require context and reference understanding.
Understanding GANs: From Fundamentals to Objective Functions
An in-depth guide to GANs: how two neural networks compete to generate realistic data, the math behind it, and the evolution of objective functions that stabilize training.
Word Embeddings in NLP: An Introduction
Learn how computers understand words through mathematical vectors, from simple counting methods to contextual embeddings that power modern NLP.