Udemy

Large Language Models - Level 1

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  • 3,171 Students
  • Updated 7/2024
4.4
(186 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
0 Hour(s) 59 Minute(s)
Language
English
Taught by
H2O.ai University, Andreea Turcu
Rating
4.4
(186 Ratings)

Course Overview

Large Language Models - Level 1

Craft Your Language Model Success : Foundations of Language Models and Large Language Models (LLMs)

Begin your exploration of Large Language Models (LLMs) with our foundational Level 1 course! Tailored for both beginners and those with some machine learning experience, this course provides a deep understanding of essential concepts and techniques in language modeling.

Led by Andreea Turcu, H2O ai's expert in AI education, you will start by learning what a language model is and its crucial role in natural language understanding. We'll explore the evolution of these models and delve into the techniques used to develop and refine them. The course also highlights real-world applications across industries, demonstrating the transformative power of LLMs.

You will also gain a strong foundation in neural networks and deep learning, essential for mastering advanced AI techniques. A significant portion of the course focuses on transformer architecture, the backbone of modern LLMs, and compares it with other architectures to highlight key innovations.

We'll guide you through the methodologies of pre-training and fine-tuning LLMs, emphasizing transfer learning and domain-specific adaptation. By the end of the course, you'll have the skills to create and apply language models effectively, making you a strong candidate for roles in natural language processing, machine learning, and data science.

Come aboard our dynamic course, where you'll dive into practical applications of language models and supercharge your AI career!

Course Content

  • 4 section(s)
  • 6 lecture(s)
  • Section 1 Introduction to Language Models
  • Section 2 Understanding Transformers
  • Section 3 Advanced Techniques in LLM
  • Section 4 Course Completion Quiz

What You’ll Learn

  • Understand the definition and role of language models in natural language understanding.
  • Explore the evolution and techniques commonly used in language models.
  • Identify real-world applications of language models across various industries.
  • Master the basics of neural networks, deep learning, and transformer architecture.


Reviews

  • V
    VIJAY KUMAR
    5.0

    Thank you very much for good explanation of LMs and LLMs

  • D
    Deon Whitlock
    5.0

    Great Overview Of LLM

  • S
    Satyam Chatterjee
    4.0

    all great explaination

  • M
    Muhammad Azim
    5.0

    This is a foundation Level course recommended for AI learners

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