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AI Foundations


Novahub Original

Explore the fundamentals of Large Language Models (LLMs), machine learning, deep learning, and computer vision in this comprehensive program. You'll gain insight into how LLMs like ChatGPT work, their strengths and limitations, and delve into the essentials of NLP, including key processing steps. Additionally, the program covers the basics of supervised learning and the evolving role of AI in interpreting both language and visual data.

About This Course

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Novahub Original

Created by our team of experts, NovaHub Original programs provide practical and cutting-edge knowledge in various fields, making high-quality education accessible to all.

COURSE OVERVIEW

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COURSE LESSONS

  • LESSON 1 - Foundations: LLMs and How They Work

    Introduce the very rough and general concepts that provide context to LLM applications like ChatGPT and Claude.

    Generally introduce what an LLM is and how it's trained, and how this impacts our interactions with an LLM.

    eg. ChatGPT can't count, it just has been trained on many pieces of text that have specific lengths.

    Generally summarize the strengths and weaknesses of an LLM, focusing on their strengths.

    Start
  • LESSON 2 - Foundations: Introduction to Computer Vision

    Exploring the fundamentals of computer vision, including applications, mathematical representations, and future developments.

    Start
  • LESSON 3 - Foundations: Machine Learning Concepts and Applications

    Introduce the concept of machine learning at a very high level. Focus on the idea of Supervised Learning and the applications of this approach. Briefly cover Unsupervised learning, and Reinforcement learning. Don't introduce too much math, just focus on the conceptual explanations, and helping the student remember these concepts.

    Start
  • LESSON 4 - Foundations: Introduction to Deep Learning

    This lesson provides an overview of deep learning, explaining its relationship to machine learning and artificial intelligence, the structure and functioning of neural networks, practical applications, and limitations.

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  • LESSON 5 - Foundations: Introduction to Natural Language Processing (NLP) and Transformers

    The lesson covers the basics and applications of Natural Language Processing and Transformers in NLP, including how machines comprehend and process human language, the steps involved in NLP like tokenization, segmentation, stemming, lemmatization, part-of-speech tagging, and named entity recognition. It also discusses the practical uses of NLP in everyday technology and the job opportunities in the field.

    Start

Meet Your Instructor

NovaHub Original programs are meticulously crafted by our in-house team of experts, blending the latest advancements in technology with hands-on, practical learning experiences. From AI and data science to creative arts and business strategies, NovaHub offers a diverse range of courses designed to ignite curiosity and inspire growth. Our mission is to make high-quality education accessible to all, leveraging our unique position at the intersection of education and technology.

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