AI prompt engineering in 2025 What works and what doesn’t | Sander Schulhoff
AI Summary
This video features a detailed conversation with Sander Schulhoff, an expert in prompt engineering and AI red teaming. Key topics discussed include:
- The ongoing importance of prompt engineering despite evolving AI models.
- Basic prompt engineering techniques such as few-shot prompting (providing examples), decomposition (breaking tasks into subproblems), self-criticism (having the AI review and improve its answers), and providing additional context.
- Advanced techniques like ensembling, which involves using multiple prompts or roles and aggregating responses for better accuracy.
- The concept of prompt injection and AI red teaming, where malicious prompts trick AI into producing harmful content like instructions for building bombs or spreading hate speech.
- The challenges and limitations of defending against prompt injection, noting that many common defenses do not work effectively.
- The necessity for AI research labs to innovate in model architecture and fine-tuning for better security, as prompt injection is considered an unsolvable but mitigatable problem.
- Discussion on AI misalignment problems and the ethical concerns arising as AI systems become more autonomous and embedded in real-world applications.
- Practical advice and educational resources for learning prompt engineering and participating in AI red teaming.
The video also includes insights into how prompt engineering has evolved, the role of AI safety, and reflections on future challenges in securing AI systems.