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A three-layer pipeline (rules-as-code, discrete choice model, agent-based model) for behavioural policy simulation that keeps what is measured separate from what is assumed, calibrated against a real adoption survey.
Ching's posts
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A working glossary of LLM inference workloads running on GPUs- Published on
au-radar is a RADAR-consistent benchmark of how well AI describes and reaches Australian federal services. It scores Australia 5.32, and finds that a robots-respecting agent is blocked at the free legal database but not at the silent government register.- Published on
ClauseKit runs five bodies of law through an LLM extraction pipeline. 171 of 262 extracted rules never produce a yes or no, and that gap is the result.- Published on
Porting a fine-tuned sentence embedding model into a Drupal 10 module, running ONNX inference in-process via PHP FFI. No Ollama, no external API, no vector DB.- Published on
A practitioner's mapping of the DTA's mandatory agentic AI controls to real Bedrock Guardrails configuration, tested against a live guardrail.- Published on
A tool to search across Commonwealth legislation, for Innovation Month 2026- Published on
A decompose-then-verify pipeline that checks each claim in an AI output against its source document, and an honest look at what the RAGTruth numbers actually say about it.- Published on
How to use your existing Notion kanban board as the cockpit to manage your running AI agents, demonstrating human intervention and agent memory across runs.- Published on
Fine-tuned MiniLM exported to ONNX and run inside an existing Spring Boot app. No vector DB, no Bedrock per query, no GPU. The post I needed when I started.- Published on
How I built a two-mode spatial decision support tool that lets health planners ask plain-English questions about GP coverage gaps and get optimised facility placement recommendations with briefing-quality narrative.- Published on
How I built a one-click Slack shortcut that turns incident threads and Q&A chains into structured Confluence KB articles using the Claude API.- Published on
"Building and hosting Vue web apps on Drupal" presentation resources- Published on
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Easy way to migrate AWS SageMaker Notebook using S3- Published on
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Clear trash on AWS SageMaker Notebook to free up disk space- Published on
"Building Web Applications with Vue.js" presentation resources- Published on
"Java with GraalVM and AWS Lambda" presentation resources- Published on
Cloning Git with Large File System (LFS) on various AWS services