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In the vast landscape of AI content, navigating through the myriad of videos to find the most insightful and informative can be a daunting task. However, we’ve curated a selection of 5 AI videos that stand out for their depth, breadth, and relevance to today’s AI landscape. These videos cover a range of topics from the foundational concepts of AI to running models locally on your own machine and the future implications of AI on the economy.
1. Introduction to Large Language Models with Andrej Karpathy
Andrej Karpathy is a computer scientist who served as the director of artificial intelligence and Autopilot Vision at Tesla. He co-founded and formerly worked at OpenAI, where he specialized in deep learning and computer vision. In this video, Andrej offers a comprehensive and accessible introduction to Large Language Models, the fundamental technical components powering systems such as ChatGPT, Claude, and Bard. He delves into what these models are, their current state and future directions, draws comparisons and analogies to contemporary operating systems, and explores the security challenges posed by this emerging computing paradigm.
2. What is Retrieval-Augmented Generation?
Retrieval-Augmented Generation (RAG) is an architectural approach that enhances the capabilities of Large Language Models (LLMs) by integrating external data sources to provide more accurate, up-to-date, and contextually relevant responses. If you want to use your own data with a large language model then you’ll typically use RAG. In this video, IBM Senior Research Scientist Marina Danilevsky explains the LLM/RAG framework and how this combination delivers two big advantages, namely: the model gets the most up-to-date and trustworthy facts, and you can see where the model got its info, lending more credibility to what it generates.
3. Easy way to run any open source Large Language Model locally on your own machine
LM Studio is a powerful tool designed for managing and utilizing large language models (LLMs) locally on your machine, offering a significant level of control and security. It stands out for its commitment to privacy, ensuring that no data is collected, monitored, or stored outside your local machine, making it an attractive option for users concerned about their data’s privacy. This video shows you how to quickly get up and running with LM Studio.
4. Artificial General Intelligence (AGI) Simply Explained
Artificial General Intelligence (AGI) refers to a type of artificial intelligence that can perform as well or better than humans on a wide range of cognitive tasks. Unlike narrow AI, which is designed for specific tasks, AGI is capable of self-teaching and solving problems it was not initially trained for, mimicking human-like intelligence and abilities. In this video explains the basics of Artificial General Intelligence. It talks about the history of AGI and how it has changed from its beginnings to where it is now. It also gives a complete overview of all the different kinds of AGI and how they differ from each other and from traditional AI.
5. How will the economy work after Artificial General Intelligence
Artificial General Intelligence (AGI) refers to a type of artificial intelligence that can perform as well or better than humans on a wide range of cognitive tasks. Unlike narrow AI, which is designed for specific tasks, AGI is capable of self-teaching and solving problems it was not initially trained for, mimicking human-like intelligence and abilities. In this video, David Shapiro, an expert on artificial cognitive architecture, explores the potential economic landscape in a post-labour era where AGI systems could undertake tasks that currently require human intellect.
