TLDRocket
Sign in
Latest Silent sailing, noisy generators: Hydrogen startups PowerUP and H2Boat... — Tech.eu Nvidia invests in four German startups as part of $10BN European inves... — Tech.eu Blackwall hits $2.2B valuation with $100M Series C just weeks after jo... — Tech.eu Zuckerberg spent years building on Apple’s terms. His $100 billion-plu... — Fortune Ganiga secures €2.5M to expand its AI-powered food waste technology — Tech.eu Neura Robotics Teams Up With Austria’s A.I. Start-Up NXAI — Trending Topics Nvidia Takes Stakes in Agile Robots, Avelios, Mirelo and Reflex Aerosp... — Trending Topics Former Google DeepMind top researcher launches London “compute-efficie... — Tech.eu

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, 16 March 2022

Image search with 🤗 datasets

Hugging Face 4 years ago 33

Hugging Face's datasets library added support for image search by combining its ImageFolder loader with CLIP embeddings and FAISS indexing, allowing users to search collections of images using text queries. The demonstration used a 10,000-image dataset of embellishments from digitised British Library books, encoded with the CLIP-ViT-B-32 model to create searchable embeddings. Users can now load image datasets, embed them with sentence_transformers, index them with FAISS, and retrieve results by querying with natural language descriptions.

Accelerate BERT inference with Hugging Face Transformers and AWS Inferentia

Hugging Face 4 years ago 36

Hugging Face Transformers and AWS released a tutorial for deploying BERT models on AWS Inferentia chips, custom hardware designed to accelerate inference workloads. AWS Inferentia delivers up to 80% lower cost per inference and 2.3X higher throughput than comparable GPU instances, with the tutorial achieving 5-6ms latency for sequence length 128. Companies moving BERT to production can reduce inference costs and increase throughput by using Inferentia instead of GPUs or CPUs.

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.