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Multi-source AI news clustered, deduplicated, and scored 0–100 across authority, cluster strength, headline signal, and time decay.

  1. TOOL · Towards AI English(EN) ·

    Unleashing the Power of ONNX for Speedier SBERT Inference

    This article explores how the ONNX framework can accelerate inference times for Sentence-BERT (SBERT) models, which are commonly used for generating sentence embeddings. The author demonstrates this by converting the `all-MiniLM-L6-v2` SBERT model to ONNX format and comparing its inference speed against the vanilla model on both CPU and GPU using a dataset of 1000 movie descriptions from Kaggle. The post provides installation instructions for ONNX and related libraries, and outlines the experimental setup for measuring performance. AI

    Unleashing the Power of ONNX for Speedier SBERT Inference

    IMPACT Optimizing SBERT inference with ONNX can lead to faster processing of text data for applications requiring sentence embeddings.

  2. TOOL · Mastodon — sigmoid.social English(EN) ·

    Converting Source Separation Models to ONNX for Real Time Usage in DJ Software – Anmol Mishra – ADC https://www. youtube.com/watch?v=CNs9EgMBocI # AI # coding #

    Anmol Mishra presented a method for converting source separation AI models into the ONNX format. This conversion enables real-time application of these models within DJ software. The presentation, part of the Audio Developer Conference, focused on practical implementation for audio processing. AI

    IMPACT Enables real-time audio processing in DJ software, potentially enhancing creative tools for musicians and producers.