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Adding reading source for Curie model #15569

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Jan 7, 2024
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Adding reading source for Curie model #15569

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2 changes: 1 addition & 1 deletion docs/docs/modules/model_io/output_parsers/types/pydantic.ipynb
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"# Pydantic parser\n",
"This output parser allows users to specify an arbitrary Pydantic Model and query LLMs for outputs that conform to that schema.\n",
"\n",
"Keep in mind that large language models are leaky abstractions! You'll have to use an LLM with sufficient capacity to generate well-formed JSON. In the OpenAI family, DaVinci can do reliably but Curie's ability already drops off dramatically. \n",
"Keep in mind that large language models are leaky abstractions! You'll have to use an LLM with sufficient capacity to generate well-formed JSON. In the OpenAI family, DaVinci can do reliably but [Curie](https://wiprotechblogs.medium.com/davinci-vs-curie-a-comparison-between-gpt-3-engines-for-extractive-summarization-b568d4633b3b)'s ability already drops off dramatically. \n",
"\n",
"Use Pydantic to declare your data model. Pydantic's BaseModel is like a Python dataclass, but with actual type checking + coercion."
]
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