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Update README.md #82

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -100,7 +100,7 @@ result = nlp_prompter.fit('ner.jinja',
<li> Handling out-of-bounds prediction from LLMS (GPT, t5, etc.)</li>
<li> Output always provided as a Python object (e.g. list, dictionary) for easy parsing and filtering. This is a major advantage over LLMs generated output, whose unstructured and raw output makes it difficult to use in business or other applications.</li>
<li> Custom examples and samples can be easily added to the prompt</li>
<li> 🤗 Run inference on any model stored on the Huggingface Hub (see <a href="https://github.com/promptslab/Promptify/blob/main/notebooks/huggingface.ipynb">notebook guide</a>).</li>
<li> 🤗 Run inference on any model stored on the Hugging Face Hub (see <a href="https://github.com/promptslab/Promptify/blob/main/notebooks/huggingface.ipynb">notebook guide</a>).</li>
<li> Optimized prompts to reduce OpenAI token costs (coming soon)</li>
</ul>

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