Machine Learning

Google is developing its medical AI for AMIE research from diagnosis to treatment

Google is developing its medical AI for AMIE research from diagnosis to treatment

Providing a diagnosis is the first step in treating a patient. Once a diagnosis is made, the challenge becomes managing…
The Secret to Reproducible and Portable Optimization: ORPilot’s Intermediate Representation (IR)

The Secret to Reproducible and Portable Optimization: ORPilot’s Intermediate Representation (IR)

In my previous post, I four core innovations that makes ORPilot a production-oriented open-source LLM-for-OR tool, namely interview agent, data…
You Probably Don’t Need an Agent Framework

You Probably Don’t Need an Agent Framework

an LLM application. Ok, the first thought that comes to your mind is: let’s build a powerful agent! But immediately…
What the Question Parser Extracts from a User String: Keywords, Scope, Shape, Decomposition, Clarification

What the Question Parser Extracts from a User String: Keywords, Scope, Shape, Decomposition, Clarification

part of the question-parsing brick of Enterprise Document Intelligence, a series that builds an enterprise RAG system from four bricks:…
Assessing the Financial Sustainability of AI

Assessing the Financial Sustainability of AI

In my April column, I talked about the true cost of AI—a mistake that could be detrimental to the technology's…
Run Local LLM with OpenClaw on Your Mac Mini

Run Local LLM with OpenClaw on Your Mac Mini

Bought a Mac Mini for Openclaw. It's complete. Of late, Anthropic has pushed OpenClaw users to its token payment API1turning…
LLM Fallbacks Break Agent Pipelines — I Built the Missing Recovery Layer

LLM Fallbacks Break Agent Pipelines — I Built the Missing Recovery Layer

TL;DR don’t just pause your agents. They ruin your data structure if you swap models without changing the payload. A…
RAG Questions Need Parsing Too: Turn the User’s String Into Briefs for Retrieval and Generation

RAG Questions Need Parsing Too: Turn the User’s String Into Briefs for Retrieval and Generation

Tquestion-parsing brick of Enterprise Document Intelligence, a series that builds an enterprise RAG system from four bricks: parsing, question parsing,…
How to Successfully Integrate with Claude's code

How to Successfully Integrate with Claude's code

in making a quick start. However, now that coding has become a commodity, one of the main problems I see…
How to Successfully Integrate with Claude's code

How to Successfully Integrate with Claude's code

in making a quick start. However, now that coding has become a commodity, one of the main problems I see…
Back to top button