Prompt Engineering = BS? (Must Watch)
AI Summary
This video discusses essential research on prompt engineering and its effectiveness in software engineering tasks, particularly in relation to advanced language models. The research evaluates various prompting techniques, such as zero-shot prompting, few-shot prompting, chain of thought, and expert prompting, comparing their performance in code generation, translation, and summarization tasks. Key findings indicate that while prompt engineering remains important, advanced models like GPT-4 can reduce the need for complex prompting, with zero-shot techniques often outperforming more elaborate prompts. The video concludes with recommendations for using reasoning and non-reasoning models based on task complexity and cost considerations, emphasizing the value of iterative refinement for better results.