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AI prompt engineering in 2025: What works and what doesn’t | Sander Schulhoff (Learn Prompting, HackAPrompt)
- Sander Schulhoff, a pioneer in prompt engineering, has conducted comprehensive studies and partnerships in the field.
- He emphasizes the importance of prompt quality in AI performance for user-facing features.
- Distinguishes between conversational and product-focused prompt engineering, highlighting the latter's scalability.
- Few-shot prompting greatly enhances accuracy, showing significant improvements in specific use cases.
- Role prompting is deemed ineffective in improving correctness, contrasting common beliefs.
- Advanced techniques like decomposition and self-criticism lead to better model performance.
- Context enrichment significantly boosts model performance by providing relevant additional information.
- Prompt injection poses real threats, demonstrating the ability to manipulate models with harmful outputs.
- AI red teaming, spearheaded by Sander through HackAPrompt, focuses on discovering advanced prompt injection methods.
- AI agents pose a substantial security threat, especially as they undertake complex tasks in various industries.
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