·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions5m◆Mapping Scientific Literature with Large Language Models and Topic Modeling5m◆Grounding Computer Use Agents on Human Demonstrations5m◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models5m◆LSTM based IoT Device Identification5m◆Breaking the Ice: Analyzing Cold Start Latency in vLLM5m◆Higher order PCA-like rotation-invariant features for detailed shape descriptors modulo rotation5m◆Minimal surfaces, Knots, and Neural Networks5m◆CCKS: Consensus-based Communication and Knowledge Sharing5m◆APPO: Agentic Procedural Policy Optimization5m◆Noise-Aware Framework for Correcting Corrupted Labels5m◆Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification5m◆Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity5m◆Measuring Semantic Progress in Multi-turn Dialogue via Information Gain5m◆Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems5m◆Persistent Homology as a Theory of Emergent Structure5m◆Bypassing Prompt Guards in Production with Controlled-Release Prompting5m◆Open Materials Generation with Inference-Time Reinforcement Learning5m◆Mechanisms of Introspective Awareness5m◆Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data5m◆Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions5m◆Mapping Scientific Literature with Large Language Models and Topic Modeling5m◆Grounding Computer Use Agents on Human Demonstrations5m◆Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models5m◆LSTM based IoT Device Identification5m◆Breaking the Ice: Analyzing Cold Start Latency in vLLM5m◆Higher order PCA-like rotation-invariant features for detailed shape descriptors modulo rotation5m◆Minimal surfaces, Knots, and Neural Networks5m◆CCKS: Consensus-based Communication and Knowledge Sharing5m◆APPO: Agentic Procedural Policy Optimization5m◆Noise-Aware Framework for Correcting Corrupted Labels5m◆Using Explainability as a Training-Time Reliability Signal for Efficient ECG Classification5m◆Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity5m◆Measuring Semantic Progress in Multi-turn Dialogue via Information Gain5m◆Evaluating and Combating the Impact of Concept Drift on the Performance of Machine Learning-Based Phishing Detection Systems5m◆Persistent Homology as a Theory of Emergent Structure5m◆Bypassing Prompt Guards in Production with Controlled-Release Prompting5m◆Open Materials Generation with Inference-Time Reinforcement Learning5m◆Mechanisms of Introspective Awareness5m◆Federated continual learning: A comprehensive survey on lifelong and privacy-preserving learning over distributed and non-stationary data5m◆
News/Building a Fast Multilingual OCR Model with Synthetic Data
huggingface
PublishedApril 17, 2026 at 4:17 PM
—neutral

Building a Fast Multilingual OCR Model with Synthetic Data

Source
huggingface.cofull article ↗
Read on huggingface→
Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
huggingface
Read original ↗All from huggingface →

No replies yet. Be first.

Source
↗
huggingface
Read original ↗All from huggingface →
The Bubble Brief
WEEKLY

Read AI insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on huggingface ↗
HomeModelsNews