This resource corresponds to 1st video from the AI Excellence Lecture Series. Discover proven strategies and techniques that empower you to keep learning and growing without the frustration of forgetting what you’ve learned. Renowned experts in cognitive science and education share insights into effective study habits, memory enhancement, and lifelong learning practices.
This lecture overviews the impact of AI, and Large Language Models, particularly of ChatGPT language model in Education, e.g., in Universities. First it present the ChatGPT transformer structure and ChatGPT training. It also overviews ChatGPT capabilities in language processing (e.g., text translation, summation, text sentiment analysis, dialogue tasks, misinformation detection, code understanding and generation). The… Continue reading AI, Large Language Models and University Education
5 lectures on continual learning, given at ESSAI 2023.
Reinforcement learning is an appealing subject. Firstly, it is a very general concept: an agent interacts with an environment with the goal to maximize the rewards it receives from the environment. The environment is random and provides states and rewards to the agent, while the agent chooses actions according to a possibly random policy. The… Continue reading Lecture notes on reinforcement learning
This book provides an introduction to modern topics in scientific computing and machine learning, using JULIA to illustrate the efficient implementation of algorithms. In addition to covering fundamental topics, such as optimisation and solving systems of equations, it adds to the usual canon of computational science by including more advanced topics of practical importance. In… Continue reading Algorithms with Julia
The adaptive processing of graph data is a long-standing research topic that has been lately consolidated as a theme of major interest in the deep learning community. The snap increase in the amount and breadth of related research has come at the price of little systematization of knowledge and attention to earlier literature. This resource… Continue reading Tutorial paper on Deep Learning for Graphs