This course focuses on the foundational concepts of LL Ms, specifically tokenization and word embedding models. It includes practical, hands-on exercises for building and training these models using PyTorch.
From tokenization to transformers. Build production NLP systems for text classification, named entity recognition, sentiment analysis, and question answering.
Start your journey into generative ai with foundational concepts and hands-on exercises designed for newcomers.
Build on your existing knowledge with intermediate generative ai techniques and real-world applications.
Push the boundaries of generative AI. Explore diffusion models, fine-tune foundation models, build RAG systems, and implement production-ready generative applications.
Start your journey into pytorch with foundational concepts and hands-on exercises designed for newcomers.
Build on your existing knowledge with intermediate pytorch techniques and real-world applications.
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