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Large Language Models - Level 1
Rating: 4.2 out of 5(205 ratings)
3,490 students

Large Language Models - Level 1

Craft Your Language Model Success : Foundations of Language Models and Large Language Models (LLMs)
Created byH2O.ai University, Andreea Turcu
Last updated 7/2024
English

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.

Course content

4 sections • 6 lectures • 59m total length

  • LLM Learning Path - Craft Your Language Model Success with H2O.ai!1:30

    Explore language models from theory to practice in H2O ai learning path, covering LM architecture, foundation models, data preparation, and fine tuning to build your own GPT with LM Studio.

  • Demystifying Language Models: A Beginner's Guide8:59

    Explore the fundamentals of language models, from pre-training and fine-tuning to evaluation and real-world applications, and learn how data prep and transformers drive LLMs.

  • Unlocking Language Models: From Basics to Advanced LLMs11:04

    Explore how language models power chatbots, translation, content generation, and sentiment analysis, and learn how large language models differ from traditional LMs through scale, contextual understanding, and pre-training and fine-tuning.

Requirements

  • A basic understanding of data science and AI principles is helpful but not required.
  • No programming experience is needed. You will learn everything you need to know.

Description

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!

Who this course is for:

  • Beginners in AI and machine learning who are eager to learn about language models.
  • Students and researchers interested in understanding and applying advanced language model techniques.

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