Are Home Teams Favoured by Referees in Football/Soccer?
Data Storytelling Series, Chapter 1 The post Are Home Teams Favoured by Referees in Football/Soccer? appeared first on Towards Data Science.
Author: Eleazar
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Polka Dot Electro-Swing Dress with NeoPixels #LED Pixels #AdafruitLearningSystem @Adafruit
Check out the latest guide from Erin St Blaine: add NeoPixel seed pixels to a polka dot dress and create an electro-swing, dance-reactive retro fashion delight. This is an intermediate guide that will give you ideas and techniques for lighting up your costume and creating effects that react to your motion. From the guide: Put…
Prompt, Context, Loop: The Three Engineering Layers Every RAG System Is Built On
Enterprise Document Intelligence [Vol.1 #M2] - Every RAG system is built in three engineering layers stacked on one LLM call: prompt (the call itself), context (what fills the model’s window), loop (when the next call fires and when it stops). Knowing which layer you are standing on is half of building and debugging RAG The…
How to Build CLI Agents with Python & Ollama
Create a local CLI Agent from scratch completely for free The post How to Build CLI Agents with Python & Ollama appeared first on Towards Data Science.
The AI Was the Easy Part: What Is a Forward-Deployed Engineer in a Supply Chain?
What actually makes a Forward Deployed Engineer, told through one supply chain project. The post The AI Was the Easy Part: What Is a Forward-Deployed Engineer in a Supply Chain? appeared first on Towards Data Science.
How Claude Help Me Build My $200k+ ML Resume
How use Claude to craft an outstanding resume that lands offers The post How Claude Help Me Build My $200k+ ML Resume appeared first on Towards Data Science.
I Replaced a 15-Minute Booking Process with a LangGraph AI Agent
A step-by-step guide to building, running, and monitoring a stateful customer support agent using Python, LangGraph, and Langfuse. The post I Replaced a 15-Minute Booking Process with a LangGraph AI Agent appeared first on Towards Data Science.
How to Apply Coding Agents to Non-Programming Tasks
Perform non-programming tasks with coding agents The post How to Apply Coding Agents to Non-Programming Tasks appeared first on Towards Data Science.
Coding Agents Don’t Need Bigger Context Windows — They Need a Context Compiler
Most coding agents treat prompt construction like retrieval: gather more files, add more context, hope the model figures it out. But that approach breaks down fast. As context grows, irrelevant code competes for attention, and when the window fills, agents start compressing their own memory—often mid-task. What looks like “forgetting” is usually just degraded context.…
Put the Agent Inside the Workflow
A hybrid LLM application pattern that combines a predefined workflow with adaptive agent behavior The post Put the Agent Inside the Workflow appeared first on Towards Data Science.