Ultimate Guide to Training Llama and ChatGPT 2025
About this course
Dive deep into the world of machine learning and artificial intelligence by coding your own Llama3/ChatGPT model from scratch. This comprehensive course is designed for enthusiasts eager to understand the intricacies of Generative Pre-trained Transformers (GPT) and leverage the power of Google's Tensor Processing Units (TPUs) through hands-on learning. Using Jax for numerical computing, you will embark on a journey through the fundamentals of GPT models, culminating in the creation of your own AI capable of understanding and generating human-like text.What You Will LearnThe Fundamentals of GPT/LLaam3: Unravel the theory behind Generative Pre-trained Transformers and why they're revolutionizing natural language processing.Hands-on Jax: Master Jax, Google's high-performance numerical computing library, to efficiently manipulate and process large datasets.TPU Mastery: Leverage Google Colab and TPUs to supercharge your model training, enjoying the benefits of this cutting-edge hardware without the overhead costs.Model Building: Step-by-step guidance on coding your transformer model, from initial architecture to final optimization.Real-World Applications: Explore the potential of your ChatGPT model, including chat applications, content creation, and more.Who This Course Is ForAI Enthusiasts: Whether you're a hobbyist or a professional looking to deepen your understanding of AI, this course is designed to provide a solid foundation in GPT and machine learning.Developers and Engineers: Software developers and engineers interested in expanding their skills into AI and machine learning will find this course invaluable.Students and Educators: Ideal for students of computer science and related fields looking to get hands-on experience with
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What you'll learn
- Understanding the theory behind Generative Pre-trained Transformers
- Proficiency in using Jax for numerical computing
- Ability to leverage TPUs for model training
- Hands-on experience in building transformer models
Course objectives
- Provide a solid foundation in GPT and machine learning
- Guide through the coding of a transformer model from architecture to optimization
- Explore real-world applications of AI models
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