Evolution of the Transformer Architecture Used in LLMs (2017–2025) – Full Course скачать в хорошем качестве

Evolution of the Transformer Architecture Used in LLMs (2017–2025) – Full Course

This course introduces the latest advancements that have enhanced the accuracy, efficiency, and scalability of Transformers. It is tailored for beginners and follows a step-by-step teaching approach. In this course, you’ll explore: Various techniques for encoding positional information Different types of attention mechanisms Normalization methods and their optimal placement Commonly used activation functions And much more You can find the slides, notebook, and scripts in this GitHub repository: https://github.com/ImadSaddik/Train_Y... Watch the previous course on LLMs mentioned in the introduction:    • Train Your Own LLM – Tutorial   To connect with Imad Saddik, check out his social accounts: YouTube: ‪@3CodeCampers‬ LinkedIn: /imadsaddik Discord: imad_saddik ⭐️ Course Contents ⭐️ (0:00:00) Course Overview (0:03:24) Introduction (0:05:13) Positional Encoding (1:02:23) Attention Mechanisms (2:18:04) Small Refinements (2:42:19) Putting Everything Together (2:47:47) Conclusion ❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp 🎉 Thanks to our Champion and Sponsor supporters: 👾 Drake Milly 👾 Ulises Moralez 👾 Goddard Tan 👾 David MG 👾 Matthew Springman 👾 Claudio 👾 Oscar R. 👾 jedi-or-sith 👾 Nattira Maneerat 👾 Justin Hual -- Learn to code for free and get a developer job: https://www.freecodecamp.org Read hundreds of articles on programming: https://freecodecamp.org/news