How To Speed Up the Search for Cures Through a Change in Probability Theory

If the FDA follows through with the proposed guidelines, and they are not fatally twisted by pressure from the medical ...
GitHub

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently ...

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT ...
IEEE

Bayesian Inference-Aided Large Language Model Agents in Infinitely Repeated Games: A Dynamic Network View

Abstract: The rapid expansion of large language models (LLMs) has led to increasingly frequent interactions between LLM agents and human users, motivating new questions about their capacity to form ...
IEEE

Calibrating Bayesian Learning via Regularization, Confidence Minimization, and Selective Inference

Abstract: The application of artificial intelligence (AI) models in fields such as engineering is limited by the known difficulty of quantifying the reliability of an AI’s decision. A well-calibrated ...
GitHub

CausalInferenceLab/awesome-causal-inference-python

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