quality-prompts 0.0.3

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Write Quality Prompts

Use and evaluate prompting techniques quickly.

QualityPrompts implements 58 prompting techniques explained in this survey from OpenAI, Microsoft, et al.

1. Install Quality Prompts:

pip install quality-prompts

2. Write the components of your prompt

from quality_prompts.prompt import QualityPrompt

directive = "You are given a document and your task..."
additional_information = "In the knowledge graph, ..."
output_formatting = "You will respond with a knowledge graph in..."

prompt = QualityPrompt(
                        directive,
                        additional_information,
                        output_formatting,
                        exemplar_store
                       )

3. QualityPrompts searches and uses only the few-shot examples that are relevant to the user's query

input_text = "list the disorders included in cvd"
prompt.few_shot(input_text=input_text, n_shots=1)

4. Simply call one of several prompting techniques to your prompt

System2Attention

prompt.system2attention(input_text)
print(prompt.compile())

>> You are given a document and your task is to create a knowledge graph from it.
        
In the knowledge graph, entities such as people, places, objects, institutions, topics, ideas, etc. are represented as nodes.
Whereas the relationships and actions between them are represented as edges.

Example input: Cardiovascular disease (CVD) encompasses a spectrum of...
Example output: [{'entity': 'cardiovascular disease (cvd)', 'connections': ...

You will respond with a knowledge graph in the given JSON format:

[
    {"entity" : "Entity_name", "connections" : [
        {"entity" : "Connected_entity_1", "relationship" : "Relationship_with_connected_entity_1},
        {"entity" : "Connected_entity_2", "relationship" : "Relationship_with_connected_entity_2},
        ]
    },
]

Tabular Chain of Thought Prompting

prompt.tabular_chain_of_thought_prompting(input_text=input_text)
print(prompt.compile())

Solve the given math problem.
Think through the problem step by step to solve it.
At each step, you have to figure out:
- the step number,
- the sub-question to be answered in that step,
- the thought process of solving that step, and
- the result of solving that step.
Respond in the following markdown table format for each step:
|step|subquestion|process|result|    

6. Upcoming: Easily evaluate different prompting techniques

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