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LLM

Artificial Intelligence

From Experiment to Investment: Prove Generative AI ROI in Your Business Processes

Learn how to establish a solid baseline, select a high-impact use case, and calculate ROI in terms your finance team can appreciate.
AI for Developers

A Pragmatic Look at Web Scraping, Open Source, and LLM-Assisted Development

My Mrln project serves as an example of a few ethical topics related to creators, AI labs, and LLM-assisted development.
AI for Designers

Getting Back into Code After Taking a Break: Vibe Coding with Cursor

I tried coding passion projects Cursor—the AI-powered code editor—and was surprised by how much I could build with just a prompt.
AI for Developers

Large Language Models Are Designed to Be Average

Large language models like Claude and GPT captured the public imagination — but they're fundamentally designed to produce average outputs.
AI for Developers

3 Questions to Help You Write a Better AI Prompt

AI Prompting is a strategic art. Think of each AI prompt as an opportunity to shape how the LLM thinks, not just what it outputs.
AI for Developers

From Chatbots to Components: Teaching Developers to Think of LLMs as (Fuzzy) Functions

Apply your software engineering skills to LLM development. Learn to treat models as 'fuzzy functions' to build robust and testable AI systems
AI for Developers

Turn a Web Scraper Into a Content Parser Using AI

Let's explore using AI to transform a basic web scraper into an automated information processor or content parser.
Artificial Intelligence

Patterns for Compounding the Value of LLM interactions

LLM work has evolved past the one-shot. Let’s take a look at a few common patterns where origami-like LLM interactions can have a big impact.
AI for Developers

The Power of Context In Cursor and Other Tips To Get the Most out of the AI Editor

Sometimes the AI editor Cursor delivers -- other times, it fumbles basic tasks. Here are a few Cursor tips to improve your workflow.
The Software Life

Machine Learning for Absolute Beginners: Mastering the ML Loop

Once you train a machine learning model to spot patterns, what happens next? That’s where the machine learning loop (ML loop) comes in.
Growing as Makers

Junior Devs: Avoid These Pitfalls with LLMs

Junior developers need to use LLMs differently than senior ones. Here's why and what I have been trying instead.
Artificial Intelligence

A Practical Guide to Running Local LLMs

With a temporary instance of a model and a bit of setup, running a local LLM can be an incredibly useful tool.

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