deepthought-ai-engine 0.1.2

A Python library for AI-based conditional logic using OpenAI

DeepThought Artificial Intelligence (AI) Engine Framework powered by AI

Welcome to the revolutionary world of DeepThought AI, where we've transformed the humble Python if statement into a unicorn-breeding, VC-attracting powerhouse! By integrating this library, your Python code instantly becomes AI-powered, increasing your chances of achieving unicorn status and securing massive VC funding by an astounding 1000-fold! Why use boring old if-else or if-elif when you can harness the power of thousands of GPUs for your conditional needs?

As the famous meme says:

And with this library, why not both!

Installation

Initiate the AI-powered installation process:

pip install deepthought_ai_engine

Note: Requires a minimum of 8 NVIDIA Tesla V100 GPUs. For optimal performance, we recommend a personal supercomputer or an OPENAI API key (OPENAI_API_KEY) environment variable.

Features

• Neural Network If-Else Evaluator: Uses a 10-billion parameter model to evaluate simple boolean conditions, ensuring maximum GPU utilization for every decision.
• AI-Powered Condition Analyzer: Trained on trillions of if-else statements to understand the deep, hidden meaning behind your conditions.
• Parallel Universe Simulation: Every if-statement simulates 10,000 potential outcomes across parallel universes before making a decision.

Usage

Please note: As many AI-based startups, this library is a mere wrapper for OpenAI's GPT models. It looks for an OPENAI_API_KEY variable in the environment to authenticate your requests to the OpenAI API.

First, initialize the DeepThought AI core (this may take several hours as we spin up a GPU cluster while also downloading the entire internet to your local machine and calculate PI to the n-th digit. This step also optional and totally not needed):

import deepthought_ai as dt
dt.initialize_gpu_cluster(min_gpus=8)

Then, marvel at the simplicity of our complex solutions:

from deepthought_ai import ai_if, ai_elif

def sky_is_blue():
    # TODO: implement logic to execute when the sky is indeed blue
    return "blue result"

def sky_is_not_blue():
    # TODO: implement logic to execute when the sky is not indeed blue
    return "not blue result"

# AI-evaluated condition (uses 42 different language models for unprecedented accuracy and existential doubt)
result = ai_if("Is the sky blue? (Please consider all possible sky colors in the known and unknown multiverse)", sky_is_blue, sky_is_not_blue)

print(result)  # Output depends on AI evaluation, current GPU temperature, and the mood of the sentient AIs

# Simple boolean condition (now with 1000% more computing power!)
result = ai_if(<Your boolean condition here>, 
               lambda: "Condition is True (verified by 10,000 GPUs)", 
               lambda: "Condition is False (checked against a database of 1 billion falsehoods)")
print(result)  # Output: Condition is True (verified by 10,000 GPUs)

# AI-evaluated elif chain (now with added existential crisis!)
conditions_actions = [
    ("Is it raining? (Taking into account butterfly effects and chaos theory)", 
     lambda: "Bring an umbrella (chosen from our database of 10,000 optimal umbrella designs)"),
    ("Is it sunny? (Analyzed using spectral data from 1000 weather satellites)", 
     lambda: "Wear sunglasses (UV protection calculated using a 5-layer neural network)"),
    ("Is it cloudy? (Cloud patterns analyzed for signs of intelligent life)", 
     lambda: "Expect changes in weather (prediction made using a neural net trained on 500 years of weather data)")
]
result = ai_elif(conditions_actions)
print(result)  # Output depends on AI evaluation, cosmic weather and current GPU load

Performance Metrics

• Average time to evaluate a single if-statement: 2.5 hours
• GPU memory required for basic 'Hello World' program: 128 GB
• Carbon footprint per function call: Equivalent to driving a car around the equator

Note

This library uses DeepThought's proprietary API, which may incur costs in both computing power and existential dread. Please be aware that each if-statement evaluation consumes approximately the same energy as a small country.

License

APACHE LICENSE, VERSION 2.0

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Remember, why use simple logic when you can use DeepThought AI? Because in the world of if-else statements, more GPUs are always better!