Descriptions
How Large Language Models (LLMs) Work, Large language models (LLMs) like ChatGPT, Gemini, and Copilot have transformed how we interact with computers, and understanding how they work is key for anyone curious about modern artificial intelligence (AI). In this course, you’ll explore the core concepts that make LLMs so powerful, starting with deep learning and pretrained models. You’ll learn why Transformers have become the dominant architecture in natural language processing (NLP), and how they enable natural, human-like language generation. Then, you’ll dive into the three main components of a Transformer: embeddings, attention, and feedforward neural networks, and see how encoder-only, decoder-only, and encoder-decoder models differ. You’ll also explore popular pretrained models like BERT, GPT, and T5. By the end, you’ll have a solid conceptual grasp of how Transformers and large language models work, giving you the vocabulary and confidence to keep up with AI’s fast-evolving landscape. If you want a visual, no-code introduction to the technology powering today’s most advanced language models, this is the course for you.
What you’ll learn
- Transformer Architecture
- Breaking Down the Transformer Diagram
- Encoders & Decoders
Who this course is for
- Anyone curious about how LLMs like ChatGPT and Copilot work behind the scenes
- Beginners seeking an intuitive, visual explanation of Transformers and attention mechanisms
- Data professionals or AI enthusiasts wanting a solid foundation before exploring coding or model development
Specificatoin of How Large Language Models (LLMs) Work
- Publisher : Maven Analytics
- Teacher : Alice Zhao
- Language : English
- Level : All Levels
- Duration : 1 hours and 0 minutes
Content of How Large Language Models (LLMs) Work

Requirements
- No coding experience required
- Some prior machine learning knowledge is helpful, but not necessary — we explain everything step-by-step with clear visuals
Pictures

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File size
154 MB