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README.md
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@@ -74,7 +74,7 @@ const result = await generator(prompt, { max_new_tokens: 512, do_sample: false})
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console.log(result);
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```
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You can then append new messages to continue the game. See Will Brown's [Wordle dataset](https://huggingface.co/datasets/willcb/V3-wordle) for details on the
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## Next steps
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The objective of this project was to assess if a LLM model can beat the [shannon-entropy-based algorithm](https://github.com/pappitti/wordle-battle-research). It seems unlikely, in particular if we set compute constraints at inference.
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console.log(result);
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```
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You can then append new messages to continue the game. See Will Brown's [Wordle dataset](https://huggingface.co/datasets/willcb/V3-wordle) for details on the expected feedback format
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## Next steps
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The objective of this project was to assess if a LLM model can beat the [shannon-entropy-based algorithm](https://github.com/pappitti/wordle-battle-research). It seems unlikely, in particular if we set compute constraints at inference.
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