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add new gpt-3 resources
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content/pages/10-working/00-gpt-3.markdown

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@@ -124,3 +124,15 @@ is trained.
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trained and what happens in various scenarios such as text output
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and code generation.
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* [Tempering expectations for GPT-3](https://minimaxir.com/2020/07/gpt3-expectations/)
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points out that many of the good examples on social media have been
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cherry picked to impress readers.
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* [gpt-3-experiments](https://github.com/minimaxir/gpt-3-experiments)
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contains Python code open sourced under the MIT license that
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shows how to interact with the API.
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* [Why GPT-3 matters](https://leogao.dev/2020/05/29/GPT-3-A-Brief-Summary/)
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compares and contrasts this model with similar models that have been
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developed and tries to give an overview of where each one stands
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with its strengths and weaknesses.

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