How to prompt like a PRO with these 7 tips (20%+ Better & Cheaper Results)
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Links to Research Mentioned:
Impact of Input Length on LLM Reasoning: https://arxiv.org/html/2403.09743v1
Chain of Thought Analysis: https://arxiv.org/html/2402.14848v1#S3
Few-Shot Learning in Language Models: https://arxiv.org/abs/2005.14165
In this video, I’m sharing 7 factual, measurable tips to refine your prompts for better, consistent, and cheaper results from language models. From cutting prompt length to iterating for accuracy, these tips are gold for anyone working with AI. Plus, I demo my work-in-progress tool, AI Forger, to simplify the process. Watch now to level up your prompts and save some cash!
Timestamps:
0:00 – Why prompt engineering matters
0:29 – Tip 1: Reduce prompt length
1:06 – Tip 2: Role prompting
1:25 – Tip 3: Chain of thought
2:10 – Tip 4: Use better models
2:40 – Tip 5: Few-shot learning
3:04 – Tip 6: Structured outputs
3:37 – Tip 7: Iterate for accuracy
4:18 – The AI Forger in action
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The Recording Software I use (Canvid): https://aibuilders.short.gy/canvid
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