A Beginner-friendly Guide to Multi-GPU Model Training
Models are becoming bigger and bigger. Learn how to scale models using distributed training.
Models are becoming bigger and bigger. Learn how to scale models using distributed training.
Take your ML models to the next level with 11 lesser-known techniques.
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.
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.
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