AI & LLM Knowledge: Understanding how Large Language Models (LLMs) work, including their capabilities, limitations (like hallucinations), and underlying architectures.
Prompting Techniques: Proficiency in various prompt structuring methods, such as few-shot, zero-shot, chain-of-thought, and persona-based prompting to guide AI responses.
Programming: Familiarity with Python for interacting with AI models and their APIs, automating prompt testing, and analyzing outputs.
Data Analysis: The ability to interpret and analyze AI outputs to identify patterns, measure prompt effectiveness, and refine strategies.
AI Tooling: Experience with platforms like the OpenAI Playground and model APIs.
