A Detailed and Beginner-Friendly Introduction to PyTorch Lightning: The Supercharged PyTorch
Immensely simplify deep learning model building with PyTorch Lightning.
Immensely simplify deep learning model building with PyTorch Lightning.
Understanding the tradeoffs between RAG and Fine-tuning, and owning the model vs. using a third-party host.
Understanding the challenges of traditional fine-tuning and addressing them with LoRA.
Train large deep learning models efficiently.
Understanding every little detail on vector databases and their utility in LLMs, along with a hands-on demo.
The limitations of always using cross-entropy loss in ordinal datasets.
What are we missing here?
Eliminating the dependence of PyTorch models on Python.
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