[R] From Sparse to Dense : GPT-4 Summarization with Chain of Density Prompting

The following example implements the technique from the paper "From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting", Adams et al. (2023).


Edit : the library used is `py-llm-core`

```python
from typing import List
from dataclasses import dataclass
from llm_core.assistants import OpenAIAssistant


@dataclass
class DenseSummary:
denser_summary: str
missing_entities: List[str]


@dataclass
class DenserSummaryCollection:
system_prompt = """
You are an expert in writing rich and dense summaries in broad domains.
"""

prompt = """
Article:

{article}

----

You will generate …

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