AI for Beginners: Inside Large Language Models
Course description
This compact course is perfectly suited for those who wonder, "How does this artificial intelligence really work?"
Studying large language models (LLM) is important, as they represent a significant step forward in the development of artificial intelligence.
These models, such as ChatGPT, have an astonishing ability to understand, generate, and analyze human language, making them powerful tools for use in a wide range of areas.
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Regardless of whether you work in technology, education, business, or the creative industry, understanding LLM will help you:
- improve communication,
- automate tasks,
- create content,
- solve complex problems.
And most importantly: as these models become an integral part of everyday applications, basic knowledge about them will give you a competitive advantage and a deeper understanding of future AI-driven innovations!
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All Course Lessons (20)
| # | Lesson Title | Duration | Access | 
|---|---|---|---|
| 1 |  Introduction Demo | 05:52 | |
| 2 |  Introduction to LLMs | 05:45 | |
| 3 |  Tokens | 05:18 | |
| 4 |  Word Guessing Machines? | 05:51 | |
| 5 |  Thinking Like LLMs - Roll a Dice | 06:57 | |
| 6 |  Inside LLMs | 22:14 | |
| 7 |  The Transformer Model | 07:39 | |
| 8 |  Exercise: Visualize the LLM Architecture | 03:57 | |
| 9 |  The Training Process | 09:58 | |
| 10 |  Base Model vs. Assistant Model | 07:07 | |
| 11 |  Thinking Like LLMs - The Reversal Curse | 05:15 | |
| 12 |  Artificial General Intelligence (AGI) | 05:29 | |
| 13 |  Exercise: Use ChatGPT to Read the Research | 04:48 | |
| 14 |  The World of LLMs | 06:06 | |
| 15 |  Introduction - Through The Looking Glass... | 09:45 | |
| 16 |  Mechanistic Interpretability - Part 1 | 13:25 | |
| 17 |  Mechanistic Interpretability - Part 2 | 21:00 | |
| 18 |  Scaling Laws - Model Size | 12:56 | |
| 19 |  Scaling Laws - Dataset Size | 08:05 | |
| 20 |  Scaling Laws - Training Compute | 11:50 | 
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