Google's DiffusionGemma generates 256 tokens in parallel and self-corrects as it goes

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU at a cost to quality.
XDA Developers on MSN

I switched my local LLM setup to Ollama's new MLX engine, and my Mac suddenly feels twice as fast

I finally stopped babying my MacBook.
IEEE

APCodec: A Neural Audio Codec With Parallel Amplitude and Phase Spectrum Encoding and Decoding

Abstract: This paper introduces a novel neural audio codec targeting high waveform sampling rates and low bitrates named APCodec, which seamlessly integrates the strengths of parametric codecs and ...
IEEE

Ultra-Low-Bitrate Mel-Spectrogram-based Neural Speech Coding with Flow-Matching-based Refinement and Vocoding-driven Reconstruction

Abstract: Ultra-low-bitrate speech coding is pivotal for bandwidth-constrained communication and deep compression, yet maintaining naturalness and speaker identity at such extreme bit budgets remains ...
GitHub

Xnhyacinth/Awesome-LLM-Long-Context-Modeling

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

HarishankarPriyadarshi/image-processing-lab

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...