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README.md
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@@ -51,4 +51,10 @@ pipeline = transformers.pipeline(
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
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print(outputs[0]["generated_text"])
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```
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```text
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A large language model is a type of artificial intelligence (AI) system that has been trained on a vast amount of text data to understand and generate human-like text.
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These models are capable of tasks such as text generation, translation, summarization, and more. They have a vast vocabulary and contextual understanding of language, allowing them to generate coherent and relevant responses.
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Examples of large language models include GPT-3, OpenAI's text-based model, and Google's BERT, which is designed for natural language understanding.
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```
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