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Large language models are reshaping thinking by acting as cognitive partners rather than just software tools.
Optimizing LLM Inference Through Prefill-Decode Split
London NO2 Forecasting reveals why ARIMA and Prophet models struggle with messy sensor data
DoRA's Speed and Accuracy Gap Versus LoRA on Consumer GPUs
How to measure a model’s accuracy without overfitting to training noise
Promograph uses GNNs to reduce waste in retail promotions.
Implementing raw API calls for retrieval augmented generation clarifies debugging and reveals true system latency
Nobody gives every social participant the same start at level zero.