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LitPivot: Developing research ideas through dynamic contextualization within the literature landscape
Does Your Model Run on AWS Trainium? Look It Up
Turning Database Grading into RL Rewards: Post-Training Agents with ThinkingBox
OlmoEarth v1.3: State-of-the-art embeddings for the whole planet
Ensemble forecasting with IBM Granite time-series models
NVIDIA Kumo Relational Outperforms Supervised Machine Learning on Relational Data, No Training Required
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
NVIDIA Cosmos3-H-Dreams: Bringing Clinical Surgery to Life Through Generative Simulation
FairStress: A deeper evaluation of fairness in LLM decision-making
ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model
Hugging Face ❤️ TorchTPU: TPUs, Natively
MPS in PyTorch 2.15
AnyLanguageModel 1.0: One Year of Local Models on Apple Platforms
TorchNeuron: running HF models on AWS Trainium is easier than ever
Scaling Indic Pretraining: 2.8 Trillion Tokens and an Open Data Generation Pipeline
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