Tag
6 articles
Learn how to use ZML's open-source inference optimization software to accelerate AI model execution across multiple hardware platforms, demonstrating performance improvements through practical implementation.
Learn how to optimize AI models for edge deployment using quantization techniques similar to those developed by Modular AI, which Qualcomm recently acquired for nearly $4 billion.
Learn how advanced prompt engineering techniques can dramatically improve AI model performance by strategically designing input prompts to guide large language models toward desired outputs.
Learn how xFormers helps make AI models faster and more memory-efficient by optimizing how they process text data.
Learn how to implement multi-token prediction for text generation using Google's Gemma 4 model, demonstrating how generating multiple tokens simultaneously can speed up text generation by up to three times.
This explainer explores how Apple's neural engine optimization enables efficient AI processing in mobile devices, comparing the iPhone 17e's approach to the base iPhone 17 model.
