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README.md

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@@ -11,7 +11,7 @@ Prompt engineering is kind of like alchemy. There's no clear way to predict what
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I've added a new version of gpt-prompt-engineer that takes full advantage of Anthropic's Claude 3 Opus model. This version auto-generates test cases and allows for the user to define multiple input variables, making it even more powerful and flexible. Try it out with the claude-prompt-engineer.ipynb notebook in the repo!
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## *New 3/20/24: Claude 3 Opus -> Haiku Conversion Version*
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This notebook enables you to build lightning-fast, performant AI systems at a fraction of the typical cost. By using Claude 3 Opus to establish the latent space and Claude 3 Haiku for the actual generation, you can achieve amazing results. The process works by leveraging Opus to produce a collection of top-notch examples, which are then used to guide Haiku in generating output of comparable quality while dramatically reducing both latency and cost per generation.
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This notebook enables you to build lightning-fast, performant AI systems at a fraction of the typical cost. By using Claude 3 Opus to establish the latent space and Claude 3 Haiku for the actual generation, you can achieve amazing results. The process works by leveraging Opus to produce a collection of top-notch examples, which are then used to guide Haiku in generating output of comparable quality while dramatically reducing both latency and cost per generation. Try it out with the opus-to-haiku-conversion.ipynb notebook in the repo!
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## Features
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