corpus.blog
41554 blogs · [ { "id": "01a08767-d7e9-724c-9c6e-b158075bd534", "title": "Agents That Disagree - Adversarial Multi-Agent Architecture for AI-Driven Detection and Investigation", "url": "http://dshieble.github.io/2026-03-22-ensemble-llm/", "published_at": "2026-03-22T04:00:00+00:00" }, { "id": "01a08767-d7e9-724c-9c6e-b15807d72d66", "title": "Bayesian Attack Detection for Smarter SOCs", "url": "http://dshieble.github.io/2025-09-30-bayesian-detection/", "published_at": "2025-09-30T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963da7c94b1", "title": "Efficacy Engineering", "url": "http://dshieble.github.io/2025-07-21-efficacy-engineering/", "published_at": "2025-07-21T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963dadaae15", "title": "Infrastructure as Markdown?", "url": "http://dshieble.github.io/2025-03-25-infrastructure-as-markdown/", "published_at": "2025-03-25T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963db059507", "title": "The Detection Mindset", "url": "http://dshieble.github.io/2025-03-13-detection-mindset/", "published_at": "2025-03-13T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963dbab8676", "title": "Getting Value from AI Developer Tools", "url": "http://dshieble.github.io/2025-01-12-ai-coding/", "published_at": "2025-01-12T05:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963dc3bdc49", "title": "Better Asynchronous Written Communication", "url": "http://dshieble.github.io/2024-09-29-communication/", "published_at": "2024-09-29T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963dcbbe454", "title": "Generating Detection Rules with LLMs", "url": "http://dshieble.github.io/2024-07-01-detection-rules/", "published_at": "2024-07-01T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963dd012ec6", "title": "Making (Correct) Decisions with Data", "url": "http://dshieble.github.io/2024-06-27-data-decisions/", "published_at": "2024-06-27T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963dde25176", "title": "Technical Inspection", "url": "http://dshieble.github.io/2024-06-17-inspection-strategy/", "published_at": "2024-06-17T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963de067743", "title": "Good Engineering Leadership", "url": "http://dshieble.github.io/2023-11-13-leadership/", "published_at": "2023-11-13T05:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963de40ed5f", "title": "Taming Large Language Models", "url": "http://dshieble.github.io/2023-05-15-taming-large-language-models/", "published_at": "2023-05-15T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963ded8b4ec", "title": "Using Large Language Models to Solve your Problems", "url": "http://dshieble.github.io/2023-05-14-large-language-models-part-1/", "published_at": "2023-05-14T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963df414f50", "title": "One Quick Trick to Increase ML Engineer Productivity", "url": "http://dshieble.github.io/2023-02-26-ensembling-ml-engineers/", "published_at": "2023-02-26T05:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963dfe1318b", "title": "How to Execute", "url": "http://dshieble.github.io/2022-11-26-how-to-execute/", "published_at": "2022-11-26T05:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963e02919b1", "title": "An Ensemble of Kan Extensions", "url": "http://dshieble.github.io/2022-08-14-kan-ensemble-learning/", "published_at": "2022-08-14T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963e02f54f4", "title": "Resilient Machine Learning", "url": "http://dshieble.github.io/2022-07-04-resilient-machine-learning/", "published_at": "2022-07-04T04:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963e068adaf", "title": "Large Mistakes in Regression Problems", "url": "http://dshieble.github.io/2022-02-16-regression-mistakes/", "published_at": "2022-02-16T05:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963e1054b60", "title": "Predicting a Quantity with Categorical Features", "url": "http://dshieble.github.io/2021-12-21-counting-features/", "published_at": "2021-12-21T05:00:00+00:00" }, { "id": "01a08767-d7ea-73d3-a950-4963e1c317c8", "title": "Improving a Machine Learning System (Part 3 - A/B testing)", "url": "http://dshieble.github.io/2021-11-12-ml-systems-3/", "published_at": "2021-11-12T05:00:00+00:00" } ] posts Claim your blog
Back to dshieble.github.io
Blog · corpus.blog/blogs/dshieble.github.io/posts

dshieble.github.io

dshieble.github.io

2026

Agents That Disagree - Adversarial Multi-Agent Architecture for AI-Driven Detection and Investigationoriginal ↗
22 Mar 2026

2025

Bayesian Attack Detection for Smarter SOCsoriginal ↗
30 Sept 2025
Efficacy Engineeringoriginal ↗
21 Jul 2025
Infrastructure as Markdown?original ↗
25 Mar 2025
The Detection Mindsetoriginal ↗
13 Mar 2025
Getting Value from AI Developer Toolsoriginal ↗
12 Jan 2025

2024

Better Asynchronous Written Communicationoriginal ↗
29 Sept 2024
Generating Detection Rules with LLMsoriginal ↗
1 Jul 2024
Making (Correct) Decisions with Dataoriginal ↗
27 Jun 2024
Technical Inspectionoriginal ↗
17 Jun 2024

2023

Good Engineering Leadershiporiginal ↗
13 Nov 2023
Taming Large Language Modelsoriginal ↗
15 May 2023
Using Large Language Models to Solve your Problemsoriginal ↗
14 May 2023
One Quick Trick to Increase ML Engineer Productivityoriginal ↗
26 Feb 2023

2022

How to Executeoriginal ↗
26 Nov 2022
An Ensemble of Kan Extensionsoriginal ↗
14 Aug 2022
Resilient Machine Learningoriginal ↗
4 Jul 2022
Large Mistakes in Regression Problemsoriginal ↗
16 Feb 2022

2021

Predicting a Quantity with Categorical Featuresoriginal ↗
21 Dec 2021
Improving a Machine Learning System (Part 3 - A/B testing)original ↗
12 Nov 2021