InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by ...
IEEE

Task-Oriented Computation Offloading for Edge Inference: An Integrated Bayesian Optimization and Deep Reinforcement Learning Framework

Abstract: Edge intelligence (EI) allows resource-constrained edge devices (EDs) to offload computation-intensive AI tasks (e.g., visual object detection) to edge servers (ESs) for fast execution.
GitHub

jdsubiela/bayesian-nma-framework

Custom Python implementation for the Bayesian network meta-analysis presented in: Comparative Efficacy and Safety of Perioperative Enfortumab Vedotin-Pembrolizumab, Dose-Dense MVAC, and ...
GitHub

Game Theory Meets Large Language Models

This repository provides a simulation-based exploration of the intersection between game theory and large language models (LLMs), inspired by the paper Game Theory Meets Large Language Models: A ...