QLORA is breaking barriers in memory usage
QLORA presents a groundbreaking method for fine-tuning large language models, reducing memory consumption enough to fine-tune a 65-billion parameter model on a single 48GB GPU.
QLORA presents a groundbreaking method for fine-tuning large language models, reducing memory consumption enough to fine-tune a 65-billion parameter model on a single 48GB GPU.
Mojo is designed to take advantage of MLIR (Multi-Level Intermediate Representation) and offers a superset of Python with additional functionality for writing high-performance code that utilizes modern accelerators.
MusicLM is an AI model that generates high-fidelity music from text descriptions, leveraging a shared embedding space for conditioning during training and inference.
Running Stable diffusion on your computer is quite simple, but what about fine-tuning it with your data? This article covers everything you need to do that!