Developing Large Language Models in Python

Top pick course to learn how to develop LLMs: https://datacamp.pxf.io/GKR3QV Today we will learn how to develop and work with large language models (LLM) in Python. DataCamp Course: https://datacamp.pxf.io/GKR3QV Code: https://github.com/NeuralNine/youtube-tutorials/tree/main/LLM%20Development ◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾◾ 📚 Programming Books & Merch 📚 🐍 The Python Bible Book: https://www.neuralnine.com/books/ 💻 The Algorithm Bible Book: https://www.neuralnine.com/books/ 👕 Programming Merch: https://www.neuralnine.com/shop 💼 Services 💼 💻 Freelancing & Tutoring: https://www.neuralnine.com/services 🌐 Social Media & Contact 🌐 📱 Website: https://www.neuralnine.com/ 📷 Instagram: https://www.instagram.com/neuralnine 🐦 Twitter: https://twitter.com/neuralnine 🤵 LinkedIn: https://www.linkedin.com/company/neuralnine/ 📁 GitHub: https://github.com/NeuralNine 🎙 Discord: https://discord.gg/JU4xr8U3dm Timestamps: (0:00) Intro (0:53) Content Outline (3:42) Text Generation Model in PyTorch (28:44) Attention-Based Text Generation Model in PyTorch (45:52) Fine-Tuning GPT-2 (55:15) Running LLaMa Locally (1:00:32) Outro