Description
LLMs Foundations: Tokenization and Word Embeddings Models. This course is designed to provide a comprehensive and practical understanding of the fundamental concepts of language models such as tokenization and word embeddings. This course, suitable for beginners, examines in a clear and practical way two fundamental parts of the architecture of these models. Over six hours of video content, participants will learn the process of converting raw text into machine-processable units (tokenization) and how to represent the meaning of words in multidimensional space (word embeddings). Using PyTorch, learners will also be able to develop their own word embedding models, apply them to practical applications such as question answering systems, and even implement a small language model from scratch. By breaking down complex mathematical concepts into digestible parts, this course teaches not only how to use the techniques, but also the underlying rationale for each method. By the end of the course, participants will have a solid foundation in the mechanisms of large language models and the confidence to use these skills in real-world AI projects.
What you will learn
- Master the basics of LLM and AI chatbots: You will learn how and why word embedding and tokenization models work.
- Building Word Embedding Models: You will learn how to build and use word embedding models for real-world applications such as answering questions.
- Developing a basic “mini LLM”: You develop a basic LLM from scratch.
- Mastering the Fundamental Mathematics of LLM: You will learn the mathematics behind the fundamentals of LLM in the simplest and most intuitive way.
- Hands-on PyTorch Learning: You will learn hands-on how to use PyTorch to build word embedding models.
This course is suitable for people who:
- Beginners: People with basic knowledge of Python programming and neural networks who are looking for a real understanding and practical knowledge of the basics of LLM and AI chatbots.
- AI enthusiasts: enthusiasts, business managers, or anyone looking for a clear and intuitive overview of the basics of LLM and AI chatbots.
- Aspiring Developers/Professionals: People looking for a real understanding and practical knowledge of the fundamentals of LLM and AI chatbots.
- Experts/Professionals: People who are experts in the field and seek real understanding and deeper insights.
- Anyone looking for practical and applied knowledge about the basics of LLM and AI chatbots.
Course Description LLMs Foundations: Tokenization and Word Embeddings Models
- Publisher: Udemy
- Instructor: Nawas Naziru Adam
- Training level: Beginner to advanced
- Training duration: 6 hours and 14 minutes
- Number of lessons: 31
Course topics
Prerequisites for the LLMs Foundations: Tokenization and Word Embeddings Models course
- Basic knowledge of python programming
- Basic knowledge of neural networks
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
0.99 GB
