Build and Train Your Own Large Language Model from Scratch with PyTorch

Ready to go beyond just using AI and start building it? 🚀 In this video, we dive deep into the world of Transformers to build a custom Large Language Model from the ground up! 🧠 Using the legendary "Attention is All You Need" paper as our roadmap, we implement every single component in PyTorch—from Multi-Head Attention and causal masking to those crucial MLP layers. We show you how to leverage the massive Pile dataset to give your model some real-world knowledge and use OpenAI’s tiktoken for professional-grade tokenization. 📚 Whether you are rocking a humble Tesla T4 or a beastly RTX 4090, you will learn how to train anything from a snappy 13-million parameter model that masters basic grammar to a massive 2-billion parameter giant. ⚡️ Stop waiting for API keys and start training your own private, secure, and specialized LLMs today. We cover the full pipeline: downloading data, preprocessing with HDF5 for speed, defining the architecture, and finally watching your creation generate its first words. Let's get coding! 💻✨ Source: Based on the "train-llm-from-scratch" open-source project by FareedKhan-dev on GitHub. #LLM #Transformer #PyTorch #AI #MachineLearning #DeepLearning #ArtificialIntelligence #Python #GitHub #OpenSource #DataScience #NeuralNetworks #NLP