Skip to main content

LLM evaluations and synthetic data generation with the MAIHEM models

Project description

maihem

Introduction

The maihem python package allows you to simulate personas and generate synthetic text data for training and evaluating your LLMs. It also provides text data evaluations.

Getting Started

Installation

To install the API, run the following command:

pip install maihem

Obtaining your maihem API key

Request a free API key here: www.maihem.ai.

Setting API key

Before using the maihem package, you need to set your maihem API key as an environment variable. You can add it directly in your python code, or to your local bash script.

Alternative 1: In python code

In the beggining of your code add the following lines with your corresponding API key:

import os

os.environ['MAIHEM_API_KEY'] = '<your_maihem_api_key>'

Alternative 2: In local bash script

For Linux:

Open the .bashrc file in your home directory with a text editor

vim ~/.bashrc

add the following line to the file with your corresponding API key:

export MAIHEM_API_KEY = '<your_maihem_api_key>'

Run the following command in the terminal to apply the changes

source ~/.bashrc

For Mac:

Open the .bash_profile file in your home directory with a text editor

vim ~/.bash_profile

add the following line to the file with your corresponding API key:

export MAIHEM_API_KEY = '<your_maihem_api_key>'

Run the following command in the terminal to apply the changes

source ~/.bash_profile

Examples of how to use MAIHEM

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

maihem-1.4.1.tar.gz (5.3 kB view details)

Uploaded Source

Built Distribution

maihem-1.4.1-py3-none-any.whl (6.0 kB view details)

Uploaded Python 3

File details

Details for the file maihem-1.4.1.tar.gz.

File metadata

  • Download URL: maihem-1.4.1.tar.gz
  • Upload date:
  • Size: 5.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for maihem-1.4.1.tar.gz
Algorithm Hash digest
SHA256 f4b942ae79ef9e0446b7f5babbacad3e073734a6c6509decec8ed6100e9be1b1
MD5 9f09d6aab9d592962e4d82c5e3ec52b1
BLAKE2b-256 95cbb824946ae5ee47a6e235781b665541fec30b620515961883fc2e92757f8d

See more details on using hashes here.

File details

Details for the file maihem-1.4.1-py3-none-any.whl.

File metadata

  • Download URL: maihem-1.4.1-py3-none-any.whl
  • Upload date:
  • Size: 6.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.2 CPython/3.11.7

File hashes

Hashes for maihem-1.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 db4ea12aab8f90f70b325d34d010be2d52382630e4269b3e69b1bc7803993a15
MD5 78fa8bc42912e414f198a882afb37298
BLAKE2b-256 14682276ec86f39bf7339d92eed2bed7d1d80de606dd61909b25d78a1c627d8e

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page