Batching speeds up training and inference, but for LLMs we can't just use matrices for it -- we need higher-order tensors.| Giles' Blog
Wrapper for C++ torch::jit::Module with methods, attributes, and parameters.| pytorch.org
Implements data parallelism at the module level.| pytorch.org
A wrapper for sharding module parameters across data parallel workers.| pytorch.org
Implement distributed data parallelism based on torch.distributed at module level.| pytorch.org
Learn important machine learning concepts hands-on by writing PyTorch code.| www.learnpytorch.io
Per-parameter options¶| pytorch.org
I have spent many years as an software engineer who was a total outsider to machine-learning, but with some curiosity and occasional peripheral interactions with it. During this time, a recurring theme for me was horror (and, to be honest, disdain) every time I encountered the widespread usage of Python pickle in the Python ML ecosystem. In addition to their major security issues1, the use of pickle for serialization tends to be very brittle, leading to all kinds of nightmares as you evolve y...| Made of Bugs
A complete guide to building a Q&A system using Quaterion and SentenceTransformers.| qdrant.tech
