Monitoring LLM behavior: Drift, retries, and refusal patterns

The offline pipeline's primary objective is regression testing — identifying failures, drift, and latency before production.
IEEE

Input-Series Output-Series Multichannel IPT System for High-Voltage and High-Power Wireless Power Transfer

Abstract: To realize high-voltage high-power wireless power transfer, an input-series output-series (ISOS) multichannel inductive power transfer (IPT) system is proposed in this article, which is well ...
IEEE

Proposed General Decoupling and Input-Voltage-Sharing Control Strategy for Input-Series-Output-Parallel Dual Active Bridge Converter

Abstract: Input voltage sharing (IVS) is necessary for the stable operation of an input-series-output-parallel (ISOP) dual-active-bridge (DAB) converter. However, the nonidentical high-frequency link ...
GitHub

LLM - Azure OpenAI In-context Learning

This custom step helps you interact with a Large Language Model (LLM) calling an Azure OpenAI service to process simple instructions on specified input data. It takes advantage of a behaviour called ...
GitHub

process_lsm_output.py

1. Identify and load routing output files for the specified LSM. 2. Identify valid observed stations with sufficient data (≥ 5 years). 3. Save valid observations and routing simulations for each ...