Like the Impressionism movement that emerged with the popularisation of photography (increasingly used to "capture" realistic scenes), artists in the 2020s felt the need to define new styles to distinguish themselves from the art produced by #AI generators.
PROMPT ENGINEERING
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AI Generates Book Synopses: Try Our New Creative Tool
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Earlier this week, the world celebrated International Book Lovers Day. So this week's preset is all about books. Enter a book name (make something up!) and our AI model will generate a synopsis. Try it out yourself in our Playground – https://t.co/30GOP00ZU1 pic.twitter.com/syk61GjCx1
— Cohere (@cohere) 11 novembre 2022Earlier this week, the world celebrated International Book Lovers Day. So this week's preset is all about books. Enter a book name (make something up!) and our AI model will generate a synopsis. Try it out yourself in our Playground – https://
hubs.li/Q01s6X8t0 -
Model Capabilities Emerge with Scale: Sentiment Classification Study
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This is a wonderful study on the emergence of model capabilities with scale. It is remarkable to see sentiment classification working with 1 data point, and fascinating to see the effectiveness of chain of thought prompting growing with scale.
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Multiple prompts and fine-tunes serve different AI purposes
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Depends! We have many prompts and fine-tunes in place, each with a different purpose, some working together.
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GPT performance varies significantly by use case
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Like most things with GPT, it’s super case by case
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Prompt Examples: Impact on Model Performance and Variation
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Depends on the prompt! More examples is especially helpful when the examples relate to one another and contain explicit information to inform future generations. But too many examples can lead to decreased performance and variation in responses.
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Writing Effective AI Prompts: Language Skills and Formatting
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For example, my go-to is to provide instructions in plain English, then examples in JSON for easy parsing. I’ve seen others use English for everything. Or markdown. One thing is clear though — great language + reasoning skills are necessary to write good prompts.
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Mastering Prompt Engineering: Learning Through Practice and Intuition
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It’s fascinating to see how others prompt GPT-3. There’s no ‘one right answer’ to design any prompt. Because there’s no go-to way to learn it, most people learn by doing, building unique intuition along the way. So, everyone’s prompts look very different!
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Beyond Prompting: Delivering Real AI Value to Users
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If that were the case, we’d have way more billionaires. Prompting is one piece of the puzzle. The bigger question is how are you delivering value to your users? Where is it? How do you distribute?