NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required
Daily edition · Hugging Face
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7 articles · 2 sources ·
Top topics: Hugging Face · AI
How Specializing the Vocabulary of SLMs Can Cut Inference Cost by 77% in Real Applications
Profiling TorchNeuron (Part 1): System-level profiling on AWS Trainium.
Granite Speech 5.0: Transcribe, Translate, and Attribute more Accurately and Faster
NVIDIA Kumo Forecast Combines Pretrained Time-Series Representations with Historical Pattern Retrieval and Interpretability
LIVE STREAM: Training Agents IRL Seminar
An open-source AI community event on reinforcement learning for agentic systems, hosted by GitHub and Hugging Face. Join the open-source community at GitHub in San Francisco for an evening with researchers and…
I Turned Structured Output Into a Game 🎮
The model’s top prediction can still break the rules. I built Token Arcade to make structured output and constrained decoding easier to understand: see the next-token probabilities, pick a card, and find out whether…