The output of an AI model is only as good as the prompt it receives.

2025-12-01

The output of an AI model is only as good as the prompt it receives. If you’ve ever asked ChatGPT something… and gotten a mediocre answer, then join the club. Prompt engineering isn’t about clever wording — it’s about understanding how large language models work, how to shape your queries, and how to take full advantage of tools like custom instructions, memory, multimodal inputs, and more. I just released a new Pluralsight course: “OpenAI: Prompt Engineering” — a hands-on, beginner-friendly walkthrough that will help you:

Understand how prompting impacts output quality
Navigate ChatGPT’s interface and key features (console, memory, tools)
Use techniques like structured prompts, file uploads, and advanced data analysis
Learn the real limitations of LLMs and how to work around them It’s short — just over 30 minutes — and packed with examples you can apply right away. If you’re serious about boosting productivity and getting better results with OpenAI’s models, this course is for you. Watch it here → https://lnkd.in/epM8QVYR Or search for “Prompt Engineering” on Pluralsight.