Articles about "model compression"

Researchers have introduced CompreSSM, a new method that compresses artificial intelligence models while they are still in training, without sacrificing performance. This approach promises faster, more efficient training and has shown competitive results on standard benchmarks.

Ollama has integrated support for Apple's MLX machine learning framework, boosting the performance of large language models running locally on Macs with Apple Silicon. Additional enhancements include improved caching and support for Nvidia’s NVFP4 format to optimize memory usage. These developments arrive as interest in running AI models locally increases among broader user groups.