🧠 Creating Token Embeddings – Live Coding with Sebastian Raschka (Chapter 2.7)

Check out Sebastian Raschka's book 📖 Build a Large Language Model (From Scratch) | https://hubs.la/Q03l0mSf0 📖 In this live-coding tutorial, AI & LLM engineer and author @SebastianRaschka walks through Chapter 2.7: Creating Token Embeddings from Build a Large Language Model (From Scratch). This is a pivotal step in building your own transformer-based language model, where raw token IDs are transformed into dense vector representations that the model can understand and learn from. 0:00 - Introduction to Token Embeddings 0:39 - Illustrative Example with PyTorch 1:15 - Understanding Embedding Layers 3:54 - Embedding Weight Matrix Behavior 5:09 - Practical Example of Embedding Usage 8:09 - Conclusion and Next Steps 📘 About the Book Build a Large Language Model (From Scratch) is a practical and eminently satisfying hands-on journey into the foundations of generative AI. Without relying on any existing LLM libraries, you’ll code a base model, evolve it into a text classifier, and ultimately create a chatbot that can follow your conversational instructions. And you’ll really understand it because you built it yourself! 💡 Perfect for developers, ML practitioners, and NLP enthusiasts who want to build, not just use, large language models. 🔗 Get the Book: https://hubs.la/Q03l0mSf0 📌 Subscribe for new chapters, expert tips, and hands-on walkthroughs from top Manning authors. #SebastianRaschka #LLM #TokenEmbeddings #Embeddings #DeepLearning #PyTorch #NLP #Transformers #MachineLearning #ManningPublications #LiveCoding