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Does Your Model Run on AWS Trainium? Look It Up
Does Your Model Run on AWS Trainium? Look It Up

Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox
Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox
30 分钟 · Hugging Face Blog
Build more responsive apps with the Decisions API
Fast, focused, low-cost decisions for any application.
16 分钟 · OpenAILATEST STORIES
最新内容
Liquid AI Launches RIPL, a Real-Time Inference Engine for Sub-50 ms LFMs精选导读
Liquid AI released RIPL, a real-time inference engine for its LFM models. On one B200, LFM2.5-1.2B on RIPL showed 14.4 to 28.4x lower p95 latency than Qwen3.5-0.8B on vLLM.
Gradium Open-Sources Phonon, a 31M-Parameter On-Device TTS Model Under Apache 2.0精选导读
Gradium has open-sourced Phonon, a family of on-device text-to-speech models. The English Phonon 31m ships under Apache 2.0, fits in 64.5 MB, and starts speaking in about 7 ms on a laptop CPU.
Cohere Releases Rerank 5 With Passage-Level Context Focus and Calibrated Scores精选导读
Cohere Rerank 5 ships in Pro and Fast tiers with a 32K context window, Context Focus passage extraction and calibrated relevance scores. Pro scores 82.2 on BRIGHT and costs $0.05 per 1M tokens.
A Developer’s Guide to OmniParseBench: Leaderboard Benchmarks and OCR Testing精选导读
Explore how to audit and rebuild Datalab's OmniParseBench, test parser ranking certainty with document-level bootstrapping, and evaluate Tesseract and Indra OCR performance on a custom sample.
OlmoEarth v1.3: State-of-the-art embeddings for the whole planet精选导读
OlmoEarth v1.3: State-of-the-art embeddings for the whole planet
Beyond tree cover: mapping the world’s forest types精选导读
A global map categorizing every 10-meter patch of land on Earth into distinct forest types.
Ensemble forecasting with IBM Granite time-series models精选导读
Ensemble forecasting with IBM Granite time-series models
IBM AI Releases Granite Speech 5.0 2B for Multilingual Transcription and Translation精选导读
IBM released Granite Speech 5.0 2B, an Apache 2.0 speech recognition and translation model. It ranks #2 on the Open ASR Leaderboard with 5.68% average English WER, alongside updated Turbo CTC and 4.1 2B Plus models.
What FDE means at OpenAI精选导读
What forward deployed engineering means at OpenAI




