InfoQ

Google Researchers Propose Bayesian Teaching Method for Large Language Models

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. In this episode, Shweta Vohra and Joseph ...
GitHub

Missing official FastAPI-based lightweight REST inference example for OpenVINO Python API

OpenVINO provides powerful Python APIs for model conversion and inference, as well as OpenVINO Model Server (OVMS) for production deployments. However, there is currently no official lightweight REST ...
GitHub

GitHub - kossisoroyce/timber: Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code ...

Timber takes a trained ML model — XGBoost, LightGBM, scikit-learn, CatBoost, ONNX (tree ensembles, linear models, SVMs), or a URDF robot description — runs it through a multi-pass optimizing compiler, ...
IEEE

Variational Bayesian Inference-Based Method for Antenna Array Diagnosis

Abstract: Sparse diagnosis techniques for antenna arrays provide an efficient approach to fault diagnosis by leveraging the sparse nature of faulty elements. In practical scenarios, an unknown ...
IEEE

The Causal Inference of Bayesian Network Based on Improved IDA Algorithm

Abstract: At present, the IDA algorithm is a commonly used method for estimating causal effects between variables from observational data. In the IDA algorithm, the PC algorithm is first used to ...