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README.md

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### NLP
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This [NLP source code example](https://github.com/joaopauloschuler/neural-api/tree/master/examples/SimpleNLP) shows a (hello world) small neural network trained on the [Tiny Stories](https://huggingface.co/datasets/roneneldan/TinyStories) dataset. A more [complex NLP example](https://github.com/joaopauloschuler/gpt-3-for-pascal) is also available.
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This [NLP source code example](https://github.com/joaopauloschuler/neural-api/tree/master/examples/SimpleNLP) shows a (hello world) small neural network trained on the [Tiny Stories](https://huggingface.co/datasets/roneneldan/TinyStories) dataset. A more [complex NLP example showing the implementation of the GPT-3 Small architecture](https://github.com/joaopauloschuler/gpt-3-for-pascal) is also available.
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In short, this API supports:
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* Samplers: `TNNetSamplerGreedy`, `TNNetSamplerTopK` and `TNNetSamplerTopP`.
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* A tokenizer: `TNeuralTokenizer`.
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* A transformer decoder: `AddTransformerBlockCAI`.
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## Publications from the Author
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In the case that you would like to know more about what the CAI's author is working at, here we go.

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