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H2O ai Large Language Models (LLMs) - Level 1
This course is part of Large Language Models.
Course Cost
Free course
Beginner
Skill Level
2 Hours
Self-paced lessons
Begin your exploration of Large Language Models (LLMs) with this 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.
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
Learn about pre-training and fine-tuning methodologies for LLMs
Gain knowledge about transfer learning and domain-specific adaptation
Skills you'll gain
This course includes:
59 Minutes PreRecorded video
1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This foundational course introduces learners to Large Language Models (LLMs) and their applications. The curriculum covers essential concepts starting with the definition and evolution of language models, exploring their real-world applications across various industries. Students will build a strong foundation in neural networks and deep learning, with special focus on transformer architecture - the backbone of modern LLMs. The course also examines pre-training and fine-tuning methodologies, emphasizing transfer learning and domain-specific adaptation. Led by Andreea Turcu, H2O ai's expert in AI education, this course bridges theoretical knowledge with practical applications, preparing learners for more advanced studies in the field.
Introduction to Language Models
Module 1 · 21 Minutes to complete
Understanding Transformers
Module 2 · 26 Minutes to complete
Advanced Techniques in LLM
Module 3 · 12 Minutes to complete
Course Completion Quiz
Module 4 · 15 Minutes to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Large Language Models
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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