Machine Learning
Most RAG Hallucinations Are Retrieval Failures: How the Retrieval Brick Decides What the Model Can Invent
July 15, 2026
Most RAG Hallucinations Are Retrieval Failures: How the Retrieval Brick Decides What the Model Can Invent
a confident wrong answer, the instinct is to reach for the generation knobs: a stricter prompt, a bigger model, a…
How Do I Make Sure My Math Work Is Not Eaten By AI
July 14, 2026
How Do I Make Sure My Math Work Is Not Eaten By AI
someone at work brings up a version of this question: will AI take my job? I will admit that I…
25 years of the invention of visual search
July 14, 2026
25 years of the invention of visual search
Both updates build on 25 years of innovation to make the world's visual information more quickly accessible and usable. To…
A Gentle Introduction to Autoencoders & Hidden Space
July 14, 2026
A Gentle Introduction to Autoencoders & Hidden Space
Hard computation is a well-known problem in various ML algorithms today, especially when generative AI is applied to text, images,…
Kubiza Malini Ngempela Ukuqalisa I-LLM Yasendaweni? (Ama-Euro ngeMillion Tokens, Kukaliwe)
July 14, 2026
Kubiza Malini Ngempela Ukuqalisa I-LLM Yasendaweni? (Ama-Euro ngeMillion Tokens, Kukaliwe)
ngakho empeleni kumahhala.” Sengikushilo lokho, mhlawumbe ukushilo lokho, futhi wuhlobo lwesimangalo oluzwakala luyiqiniso kuze kube yilapho umuntu esilinganisa. Ngakho ngayilinganisa.…
Pydantic + OpenAI: The Cleanest Way to Get Systematic Results from LLMs
July 14, 2026
Pydantic + OpenAI: The Cleanest Way to Get Systematic Results from LLMs
In my latest post on edited output, there are three main ways to get machine-readable answers in LLM. Those are…
Agent RAG: Let Agent Search
July 13, 2026
Agent RAG: Let Agent Search
the constructive application is the RAG application. The recipe is simple: chunk, embed, extract, and turn. It looks clean on…
Context Rot: Why Claude Code Sessions Decay, and How to Govern Them
July 13, 2026
Context Rot: Why Claude Code Sessions Decay, and How to Govern Them
The context window is a core feature of every frontier model. Measured in tokens, it is typically made up of…
Building Models in Two Worlds: From Latent Constructs to Behavioral Signals
July 13, 2026
Building Models in Two Worlds: From Latent Constructs to Behavioral Signals
Two response variables that look identical and aren’t , the thing I was trying to predict was a survey answer:…
The Three Dimensions of Custom Agentic Alignment: Purpose, Principles and Practices
July 13, 2026
The Three Dimensions of Custom Agentic Alignment: Purpose, Principles and Practices
are rapidly moving from experimental prototypes to embedded actors across industries, government operations, and everyday digital workflows. Their accelerating capabilities,…