Machine Learning

Google Finance Updates: New app, portfolios

Google Finance Updates: New app, portfolios

Investing is complicated, but staying informed doesn't have to be. Starting this week, the new Google Finance is coming out…
3 Agents. 3 LLMs. 1 Aging GPU: Engineering Parallel Inference on Bare Metal

3 Agents. 3 LLMs. 1 Aging GPU: Engineering Parallel Inference on Bare Metal

agents using three different LLMs. You have one ancient GPU and you are too poor to upgrade. You need to…
Letting an LLM Pick the Right RAG Page: The Arbiter Pattern at the End of Retrieval

Letting an LLM Pick the Right RAG Page: The Arbiter Pattern at the End of Retrieval

of Enterprise Document Intelligence, a series that builds an enterprise RAG system from four bricks: parsing, question parsing, retrieval, and…
One Month Into Public Learning Data Engineer: Here's What I Didn't Write

One Month Into Public Learning Data Engineer: Here's What I Didn't Write

I went to someone on LinkedIn I'd never met, asking what he thought was the best way to do data…
How to Build a Credit Grid From an Asset Amortization Model

How to Build a Credit Grid From an Asset Amortization Model

All code used in this article is available on GitHub. The business logic and modeling functions are available in src/selection…
Your First Job as a Data Engineer at a New Company? Make the ETL Pipeline Testable

Your First Job as a Data Engineer at a New Company? Make the ETL Pipeline Testable

joining a new company as a data engineer. You inherit several ETL pipelines and are responsible for maintaining them. What…
Three-Stage True Recall Cycle in Gemma-2B and Gemma-12B-IT

Three-Stage True Recall Cycle in Gemma-2B and Gemma-12B-IT

models that represent true knowledge within? This post presents BizzaroWorld, a machine learning experiment that attempts to localize fact-remembering circuits…
Why I Stopped Using One Agent and Built a Multi-Agent Pipeline Instead

Why I Stopped Using One Agent and Built a Multi-Agent Pipeline Instead

we developed a text-to-SQL application. It was a simple one-agent architecture that takes a user query in natural language and…
Anchor Detection for RAG: Parallel Detectors, Then One LLM Call at the End

Anchor Detection for RAG: Parallel Detectors, Then One LLM Call at the End

brick of Enterprise Document Intelligence, a series that builds an enterprise RAG system from four bricks: parsing, question parsing, retrieval,…
How to Create Dynamic Loops in Claude Code

How to Create Dynamic Loops in Claude Code

A very popular topic is coding agents lately. Loops are a concept where you have an agent that acts autonomously…
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