Tagged: mlops

21 articles

Latest

Treat Prompts Like Hyperparameters: Grid Search for Better LLM Accuracy

Hugging Face and AWS launch one-line deployment for 10,000+ transformer models

Software Is Eating ML: Why You Need Engineers, Not Data Scientists

Hugging Face's New Search API Finds 140 GLUE Models Without Leaving Your IDE

Lewis Tunstall on Why Your Transformer Models Are Too Slow for Production

Salesforce and Amplitude ML Directors on What Actually Breaks in Production

ML Didn't Just Automate Finance—It Forced a Reckoning Over Trust

Hugging Face's New Tool Evaluates Any Model on Any Dataset—No Code Required

Hugging Face's Enterprise Hub Replaces Short-Lived Private Hub Experiment

Hugging Face launches Skops to put scikit-learn models on its Hub

Google's Vertex AI cuts ViT deployment to four API calls

Hugging Face Turns Model Deployment Into a 3-Click Job

Hugging Face's Free Inference API Is Load-Testing the Limits of 'Free'

Hugging Face Inference Endpoints cut model latency in half for this team

Hugging Face rolls out one-click LLM deployments with scale-to-zero pricing

Fetch Cuts Receipt Processing Latency 50% with SageMaker and Hugging Face

Rocket Money ditched its regex system for Hugging Face to handle 100M monthly transactions

Spotlight turns Hugging Face dataset inspection into a one-line command

Red Hat’s asago wants to turn AI policy into code—and cut deployment from months to days

Hugging Face launches S3-style Buckets to fix why Git stinks for ML storage

Hugging Face Now Lets You Pay for Enterprise Hub Through AWS