Genetic algorithms for LLMs
Project description
prompt-genetics
Genetic algorithms for optimizing LLM prompts.
Installation
pip install prompt-genetics
Usage
from prompt_genetics import PromptOptimizer
# Example usage will be provided here
Features
- Genetic algorithm-based optimization for LLM prompts
- Support for various fitness functions
- Configurable mutation and crossover operations
- Easy integration with popular LLM APIs
Development
Setup
git clone https://github.com/OlegSokolov/prompt-genetics.git
cd prompt-genetics
pip install -e ".[dev]"
Running Tests
pytest
License
This project is licensed under the MIT License - see the LICENSE file for details.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
prompt_genetics-0.0.1.tar.gz
(3.2 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file prompt_genetics-0.0.1.tar.gz.
File metadata
- Download URL: prompt_genetics-0.0.1.tar.gz
- Upload date:
- Size: 3.2 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
57f3bdfcfa4c9d61075aac0aa2ad8b96e02e44bf6dee819580c1c3e8ab392f14
|
|
| MD5 |
e2b8e28e032d8ea405871947e4c907b2
|
|
| BLAKE2b-256 |
1b3185484d4f45a5c6ad4f58973cfed57d8bc68abe5e1b3c8acf08cb28218934
|
File details
Details for the file prompt_genetics-0.0.1-py2.py3-none-any.whl.
File metadata
- Download URL: prompt_genetics-0.0.1-py2.py3-none-any.whl
- Upload date:
- Size: 3.2 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.9.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
5dfc1c0b7952f4253cd90aebb8924f523c982bfd667991d68c99eb65d545cf4b
|
|
| MD5 |
cc80767cacdec82b62af0b8c54042288
|
|
| BLAKE2b-256 |
cbc88ae52ad67b82d2789e57fb1512f17092a9e527cfe68e127e82251a144709
|
