Skip to main content

Build a Large Language Model (From Scratch)

0h 0m 0s
English
Paid

Course description

"Creating a Large Language Model from Scratch" is a practical guide that will teach you step-by-step how to create, train, and fine-tune large language models (LLMs).

In the book, you will go through the entire process—from model design to pre-training on a general data corpus and fine-tuning for specific tasks. Each stage is accompanied by clear explanations, diagrams, and examples.

Read more about the course

What You Will Learn:

  • Plan and program all parts of LLM
  • Prepare datasets for model training
  • Fine-tune LLM for text classification and custom data
  • Use feedback to improve instruction execution
  • Load pre-trained weights

The book will guide you through the internal mechanisms of generative AI, allowing you to not only understand how LLMs work but also learn how to adapt them. All developed examples can be run on a regular laptop.

About the Technology

Following the principle "I cannot understand what I cannot build," you will learn the process of creating a GPT-style LLM from scratch. Without using pre-built libraries, you will design a basic model, configure it for text classification, and eventually create a chatbot that can follow your instructions.

About the Book

"Building a Large Language Model from Scratch" is an engaging practical course on the fundamentals of generative AI. At each stage, you will delve into theory, reinforcing your knowledge with real development, giving you a deep understanding of the workings and limitations of LLMs.

Who the Book is For:

The book is suitable for readers with an intermediate level of Python and basic knowledge of machine learning. All developed models will work on any modern laptop, with the possibility of using a GPU.

Books

Read Book Build a Large Language Model (From Scratch)

#Title
1Build a Large Language Model (From Scratch)

Comments

0 comments

Want to join the conversation?

Sign in to comment

Similar courses

Deep Learning A-Z™: Hands-On Artificial Neural Networks

Deep Learning A-Z™: Hands-On Artificial Neural Networks

Sources: udemy
Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing pa
22 hours 36 minutes 30 seconds
Semantic Log Indexing & Search

Semantic Log Indexing & Search

Sources: Andreas Kretz
Semantic search is one of the most practical ways to apply generative AI in real-world data processing projects. In this course, we go beyond...
53 minutes 37 seconds
PyTorch for Deep Learning and Computer Vision

PyTorch for Deep Learning and Computer Vision

Sources: udemy
PyTorch has rapidly become one of the most transformative frameworks in the field of Deep Learning. Since its release, PyTorch has completely changed the landsc
10 hours 20 minutes 51 seconds
PyTorch for Deep Learning

PyTorch for Deep Learning

Sources: zerotomastery.io
Master PyTorch for deep learning with a step-by-step course. Build real-world projects and enhance your skills to become a Deep Learning Engineer.
52 hours 27 seconds
The Data Bootcamp: Transform your Data using dbt™

The Data Bootcamp: Transform your Data using dbt™

Sources: udemy
Are you looking for a cutting-edge way to extract load and transform your data? Do you want to know more about dbt™ and how to use it? Well, this is the course
4 hours 10 minutes 51 seconds