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Infocruncher

Explorations in Data, AI, Machine Learning, Science, Open Source and the Future

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Fuzzy functions with Program-As-Weights

Part 1: An introduction to compiling program specs into fuzzy neural net functions

An Engineer's Guide to Defending LLM Systems

When Prompts Aren’t Enough: Building Safer LLM Systems with Defence in Depth

Agents Part 3: Architecture Patterns

Agent architecture patterns: when to use them, how they fail, and why the best architectures start simple.

Agents Part 2: Defining an LLM Agent

Agents are models using tools, with memory in a loop

Agents Part 1: The Rise and Future of Multi-Agent Systems

From artificial neurons to autonomous agents and beyond

Practical Large Language Model Serving with vLLM on Google VertexAI

Easy, Fast, and Cheap LLM Serving for Everyone

Entropy: A History and Introduction

Bringing order to the concept of Entropy

Machine Learning Model Training

How does a Machine Learning Algorithm actually learn?

Machine Learning Introduction

Overview of machine learning and common algorithms

Machine Learning Productionisation

How to bring your ML model to life for your users