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.
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Mojo: Bridging the Gap Between Python's Flexibility and High Performance
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.
High-Fidelity Music Generation with AI: Exploring MusicLM
MusicLM is an AI model that generates high-fidelity music from text descriptions, leveraging a shared embedding space for conditioning during training and inference.
Fine-tuning Stable Diffusion with Dreambooth on a remote server
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!
Introducing Laravel time-series
While working on the new page of the LPB product, I decided to craft a package to solve a common issue we, software developers, have: build statistics.