Flickerlessly.js is a compact JavaScript library that efficiently detects specified HTML elements as they appear in the Document Object Model (DOM). It employs a unique approach using keyframe animations to replace traditional DOM polling techniques that can drain device resources or fall short in performance. The library listens for animationstart events, which are triggered when specified elements are added to the DOM, executing predefined callback functions to respond to these events. With options for both one-time and persistent callbacks, Flickerlessly.js offers flexibility for various use cases, particularly in dynamic web applications like Adobe Target HTML offers. The library is designed to streamline DOM manipulation, enhancing performance while ensuring accurate element detection. Contributions to the project are encouraged, adhering to guidelines that promote an inclusive environment and proper collaboration.

Flickerlessly

T-MAC is a novel kernel library designed to accelerate low-bit Large Language Model (LLM) inference on CPUs. It achieves this by directly supporting mixed-precision matrix multiplication (mpGEMM) using a lookup table (LUT) approach, eliminating the need for computationally expensive dequantization operations. T-MAC offers a significant speedup over traditional mpGEMM methods, specifically those used in llama.cpp, and boasts improved energy efficiency due to its reduced computational demands.

Vivek Thakur

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