Machine Learning
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From Prompting to Understanding LLMs
Like most developers, my initial experience with LLMs was pretty straightforward. I made API calls, experimented with prompts, tweaked instructions, and tried to get better responses from the model. Most of my focus was on the application side: how to integrate an LLM, structure prompts, and use the responses to build useful features. The model… Continue reading
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Why Prompt Engineering Isn’t a Reliable Skill
Prompt engineering is tweaking inputs to get desired outputs from AI models like ChatGPT. It’s not engineering—it’s trial and error. Why Prompt Engineering Falls Short: 1. No Foundational Principles: Unlike engineering, it lacks structured techniques or frameworks. It’s about guessing, not systematic problem-solving. 2. Unpredictable and Non-Reproducible: A prompt that works today can fail tomorrow.… Continue reading
