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Introduction to Modern AI: Online Course on Machine Learning and Large Language Models

By

vismit2000

3mo ago· 6 min readenNews

Summary

This article describes an online course titled '10-202: Introduction to Modern AI' that provides an introduction to modern AI systems, specifically focusing on machine learning methods and large language models (LLMs) like ChatGPT, Gemini, and Claude. The course is offered online for free with a two-week delay from the Carnegie Mellon University (CMU) offering, starting January 26th. It includes lecture videos and autograded assignments but excludes quizzes and exams. The content emphasizes that despite the apparent complexity of modern AI systems, the underlying techniques are surprisingly simple and can be implemented in a few hundred lines of code.

Key quotes

· 4 pulled
A minimal free version of this course will be offered online, simultaneous to the CMU offering, starting on 1/26 (with a two-week delay from the CMU course).
This course provides an introduction to how modern AI systems work. By 'modern AI', we specifically mean the machine learning methods and large language models (LLMs) behind systems like ChatGPT, Gemini, and Claude.
Despite their seemingly amazing generality, the basic techniques that underlie these AI models are surprisingly simple: a minimal LLM implementation leverages a fairly small set of machine learning methods and architectures, and can be written in a few hundred lines of code.
In most academic settings, the term 'Artificial Intelligence' refers to techniques much broader than machine learning and LLMs. However, in modern usage the term often refers to these kind of AI systems like chatbots that many of us use every day, and for this course we'll use this common-usage sense.
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This course provides an introduction to how modern AI systems work. By “modern AI”, we specifically mean the machine learning methods and large language models (LLMs) behind systems like ChatGPT, Gemini, and Claude. [Note] In most academic sett

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