Implementing Method Chaining for LLM Prompt Engineering
Method Chaining in Programming
Method chaining is a programming technique that involves calling multiple methods on an object in a single, continuous sequence. This approach enhances code readability and conciseness by allowing developers to express a series of operations as a single, flowing statement.
Applying Chaining to LLM Processing
When working with large language models, method chaining can create a sophisticated pipeline of transformations. Each method in the chain processes the output of the previous one, progressively refining the result through multiple stages of analysis and transformation.
Implementation Example
# Process package represents the LLM's capabilities
from process import (
can_analyze,
analyze,
transform,
)
from process.io import (
receive_input,
send_output,
)
style_configuration = {
"language": "en",
"styles": ["Witty" "Satirical" "Philosophical"],
"length": "concise",
}
class ConceptTransformer:
def __init__(self, concept):
self.concept = concept
self.transformed_text = ""
self.config = style_configuration
def analyze_concept(self):
self.transformed_text = transform(f"Analyze: '{self.concept}'?", self.config)
return self
def apply_satire(self):
self.transformed_text = transform(f"Satire of '{self.transformed_text}'", self.config)
return self
def add_wit(self):
self.transformed_text = transform(f"Witty interpretation of '{self.transformed_text}'", self.config)
return self
def be_insightful(self):
self.transformed_text = transform(f"Insightful perspective on '{self.transformed_text}'", self.config)
return self
def use_metaphor(self):
self.transformed_text = transform(f"Express '{self.transformed_text}' through metaphor", self.config)
return self
def refine_to_essence(self):
self.transformed_text = transform(f"Refine '{self.transformed_text}' to one powerful statement", self.config)
return self
def __str__(self):
self.analyze_concept().apply_satire().add_wit().be_insightful().use_metaphor().refine_to_essence()
return f"{self.concept}: {self.transformed_text}"
if __name__ == '__main__':
user_concept = receive_input("What concept should I transform?")
transformer = ConceptTransformer(user_concept)
send_output(str(transformer))
Sample Outputs
Capitalism
Those who swim in oceans of wealth yet complain the water is too cold.
Financial Leverage
Using other people's money to gamble with your own heartbeat, only to discover both belong to someone else.
Fortune Telling
Predicting the future like throwing darts in darkness—where your fate is the dart and your wallet is the target.
Religious Worship
The opium of the hopeful masses, a cheap anesthetic that lets them dream while reality performs surgery.
Gold Digging
Building a golden cage and mistaking it for a throne.
Hospitals
Places where healthy people go to become sicker.
Online Forums
Where people drown in oceans of information only to bask in the sunlight of self-importance on tiny beaches of certainty.
Video Games
The digital opium of modern society, where virtual needles inject fleeting pleasure while real life grows heavier with each passing moment.
Thanksgiving
A holiday for thanking those who taught us how not to be grateful.
Colonial Empires
A legend that long ago entered its twilight, leaving only teacups to clink in the fading light.
Religious Figures
Those who claim to be saviors yet keep their followers waiting in endless queues for miracles.
Village Elders
Sculptors of time who carve life stories into wrinkles, becoming the most dedicated playwrights in the theater of gossip.
Rumors
A silent play dressed in truth's clothing, where the more the audience believes, the more the actors secretly laugh.
The Moon
Illuminates poets sleepless nights without ever solving their insomnia.