TLDRocket
Sign in
Latest BotMan AI uses knowledge graphs for legacy modernization — SiliconANGLE Meet Aurora: the invite-only, $10,000-a-year AI concierge that anticip... — Fortune Meet Cloudflare Clef-omni: A 30B-A3B Multimodal Decision Model for Aud... — MarkTechPost AI is less regulated than milk, says Microsoft president — BBC News Nvidia reportedly in early talks to buy, acquihire or invest more in R... — SiliconANGLE Recursive Self-Improvement through Multi-Agent Self-Supervision — Sakana AI What is Decision 3.0? vLLM Semantic Router’s New Open Decision Models — MarkTechPost Why AI agents might not be right for you — SiliconANGLE

The AI intelligence platform

Every AI story that matters — and the intelligence behind it.

TLDRocket reads all relevant sources, removes duplicate coverage, and publishes a short neutral summary of every story, linking back to the original. Free, no spam, unsubscribe anytime.

Add to Slack

Every story also updates live profiles event timelines weekly rankings the AI Market Index

Wednesday, 4 October 2023

Accelerating over 130,000 Hugging Face models with ONNX Runtime

Hugging Face 3 years ago 22

ONNX Runtime, a cross-platform machine learning acceleration tool, now supports over 130,000 models hosted on Hugging Face, including large language models and image generation systems. The tool achieved a 74.30% latency improvement over PyTorch when accelerating the Whisper-tiny speech model, with support covering 90 model architectures including BERT, GPT-2, and Stable Diffusion. Users can now deploy Hugging Face models with faster inference performance through ONNX Runtime integration.

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.