quality-prompts 0.0.4

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Quality Prompts

Use and evaluate prompting techniques quickly.

Quality Prompts 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 ..."

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

3. Quality Prompts 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

Helps clarify the given context as an additinoal step before it's used to answer the question

prompt.system2attention(input_text)

Tabular Chain of Thought

Prompts the LLM to think step by step and write the step, process and result of each step in a markdown table. Significantly boosts accuracy in solving math problems.

prompt.tabular_chain_of_thought_prompting(input_text)

6. Upcoming: Easily evaluate different prompting techniques

Star History

To stay updated on the latest evaluation features and prompting techniques added to the library, you can star this repo.