Prompt Engineering for Software Quality Professionals

With the sudden rise of ChatGPT and large language models (LLMs), professionals have been attempting to use these types of tools to improve productivity. Building off prior momentum in AI for testing, software quality professionals are leveraging LLMs for creating tests, generating test scripts, automatically analyzing test results, and more. However, if LLM's are not fed good prompts describing the task that the AI is supposed to perform, their responses can be inaccurate and unreliable, thereby diminishing productivity gains. Join Tariq King as he teaches you how to craft high-quality AI prompts and responsibly apply them to software testing and quality engineering tasks. After a brief walkthrough of how LLMs work, you'll get hands-on with few-shot, role-based, and chain-of-thought prompting techniques. Learn how to adapt these techniques to your own use cases, while avoiding model "hallucinations" and adhering to your company's security and compliance requirements.