Prompting Power: Unlocking AI's Potential without Code Changes
Prompt engineering is a powerful technique for unlocking the potential of large language models (LLMs) and vision-language models (VLMs) by providing them with specific instructions or prompts, without altering their core parameters. This allows LLMs to excel in diverse tasks and domains without extensive retraining.
Summary
- Prompt engineering is a rapidly growing field with various techniques, including zero-shot, few-shot, and chain of code prompting.
- It enables LLMs and VLMs to adapt to different tasks and domains, improving their performance.
- This avoids the need for complex model retraining or fine-tuning.
- The survey analyzes 29 distinct techniques, their applications, models, and datasets.
- Prompt engineering offers a promising future for AI, but challenges like bias and interpretability need to be addressed.
- Ethical considerations are crucial for the responsible development and deployment of prompt engineering.