AI
Calendar of Events
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![]() ***Please Use Source Link Below to Confirm Event Details*** This is a placeholder for our weekly meeting. We will update the meeting description each week to include the topic of the week. Stay tuned :) Every week we meet (virtually) and discuss the most interesting topics in AI, ML and Deep Learning. We usually rotate weeks so that every other week one of the members presents a deep learning/machine learning paper, frequently paired with a video explaining the concepts. In the off weeks, we present information about different projects. We cover computer vision, language (LLM's), health/hard science and generative models (Diffusion, GAN's etc.). People of all levels of skill are welcome--from newbies to machine learning, to PhD's in DL/ML/AI. We have been meeting for over 6 years weekly and have developed a neat pace and community--and all are welcome. Come join us and stay abreast of the biggest topics in Artificial Intelligence. Original Event: Weekly paper review, coding project, or random discussion
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![]() ***Please Use Source Link Below to Confirm Event Details*** Typically covers chapter content from Sutton and Barto's RL book. As usual you can find below links to the textbook, previous chapter notes, slides, and recordings of some of the previous meetings. Original Event: Reinforcement Learning: Topic TBA
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![]() ***Please Use Source Link Below to Confirm Event Details*** Join us for an online event dedicated to exploring principles, tools and applications in the domain of Agentic AI and Agentic RAG (Retrieval Augmented Generation). Whether you're a beginner looking to dive into Agentic AI, this event will have something for everyone. We will discuss the role of Agentic AI and Agentic RAG in today's world and the importance of various applications. Generative AI uses LLMs to generate text, images, videos along with other contents based on prompts. Agentic AI takes actions making decisions, interacting with the environment, utilizing LLMs in order to reach certain objectives. Agentic AI operates with a level of autonomy and intelligence to add new dimensions. Agentic RAG (Retrieval-Augmented Generation) is a framework which augments capabilities of traditional RAG by using AI agents to control and manage retrieval and generation tasks in a dynamic way. AI agents in Agentic RAG make intelligent decisions regarding retrievals from data sources along with decisions about correct responses to generate accurate results. Original Event: Agentic Ai and Agentic RAG
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