Part 1: prompt engineering for planning, cleaning, and EDA

When numbers lie — and your metrics mislead you The post How Metrics (and LLMs) Can Trick You: A Field Guide to Paradoxes appeared first on Towards Data Science. Generated by RSStT. The copyright…

The benefits and practical aspects of context engineering for LLMs

Conceptual overview and practical considerations

This week, we highlight three articles that focus on emerging topics and techniques around large language models. The post LLMs Continue to Evolve. So Should Your Skill Set. appeared first on Towards…

Practical tips to recognise and avoid prompt bias. The post How Your Prompts Lead AI Astray appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source

This article is a journey into the fascinating and rapidly evolving science of LLM prompt iteration, which is a fundamental part of Large Language Model Operations (LLMOPs). We’ll use the example of generating customer service responses with a real-world…

The hidden cost of storing prompts in your source code The post Why Your Prompts Don’t Belong in Git appeared first on Towards Data Science. Generated by RSStT. The copyright belongs to the original author. Source