Description
“Build an LLM from Scratch: Code a GPT in PyTorch” is a course—published by the online learning platform Udemy—that guides you through building a GPT-like language model from the ground up using Python and PyTorch. This hands-on course explores the fundamental concepts behind modern generative AI, helping you understand how language models process text, learn patterns, and generate human-like responses. You will learn how to prepare and tokenize text data, implement neural network components, grasp the concepts of embeddings and self-attention mechanisms, and construct Transformer architectures step-by-step. You will examine the training process, model optimization, and text generation techniques, all while gaining a deeper understanding of the mathematics and programming principles that underpin GPT models.
By implementing the core components yourself, you will gain valuable insights into how large language models are structured and trained, moving beyond viewing them merely as “black-box” systems. Whether you are a Python developer, a machine learning enthusiast, or an aspiring AI engineer, this course offers a practical introduction to Transformer-based language models and the technologies that power modern generative AI. Throughout the course, you will build a complete GPT model from scratch: converting text into tokens and embeddings, coding the self-attention mechanism yourself, pre-training and evaluating a language model, loading actual GPT-2 weights, and fine-tuning the model to function as a spam classifier and an instruction-following assistant. This track provides a deep, practical understanding of how these concepts are applied in real-world scenarios, preparing you to build and fine-tune professional-grade language models.
What you will learn in Build an LLM from Scratch: Code a GPT in PyTorch:
- Build a complete GPT model from scratch in PyTorch and understand every line of it.
- Turn text into tokens and embeddings, and code self-attention and multi-head attention yourself.
- Pretrain a language model, evaluate it, control text generation, and load the real GPT-2 weights.
- Fine-tune an LLM as a spam classifier and as an instruction-following assistant, and add LoRA.
- and …
Course specifications
Publisher: Udemy
Instructors: Thanh Vũ
Language: English
Level: Introductory to Advanced
Number of Lessons: 82
Duration: 4 hours and 12 minutes
Course topics
Build an LLM from Scratch: Code a GPT in PyTorch Prerequisites
Python programming; some PyTorch helps, and the included PyTorch primer covers the basics. No GPU needed.
Pictures
Build an LLM from Scratch: Code a GPT in PyTorch introduction video
Installation guide
After Extract, watch with your favorite Player.
English subtitle
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
1.9 GB