Generate an LLM summary

Works best on models with real time data RAG (given the fast pace of developments etc).

Outputs can be surprisingly rich given that this is a relatively short prompt:

Basic prompt template

For this LLM:

{llm-name}

Provide the following:

Release date
End of training period
Strengths
Weaknesses
Preceded by
Performance on benchmarks
Comparable to

With Markdown Formatting Insturction

For this LLM:

{llm-name}

Retrieve the following:

Release date
End of training period
Strengths
Weaknesses
Preceded by
Performance on benchmarks
Comparable to

Format the output as a markdown table:

With CSV Formatting Instruction

For this LLM:

{llm-name}

Retrieve the following:

Release date
End of training period
Strengths
Weaknesses
Preceded by
Performance on benchmarks
Comparable to

Format the output as CSV with this header row:

{header-row-for-consistency}

More Extensive Version With Section Formatting Instructions

For this LLM: 

`{llm-name}`

Provide the following and use the following markdown formatting headers as your model to follow in how you structure your output.

# Basic Parameters

## Release date

(When was the LLM released)

## Training period & data

(What is known about the training period it underwent )

## Release Date

(When the model was released)

# Reception

## Benchmark performance

## Critical reception