Skip to main content

A client library for Leeroo Workflow Management

Project description

Leeroo Client

Leeroo logo

made-with-python Version

Leeroo Dager offers a comprehensive solution for developing custom AI models. By simply providing a task description and seed data, Leeroo automates the entire workflow from data generation to model training and evaluation. No AI expertise is required—Leeroo ensures the delivery of the best customized model tailored to your specifications. Model deployment is streamlined and can be achieved with a single command.

Installation

Install using pip

pip install leeroo-client

Install from Source

git clone https://github.com/Leeroo-AI/leeroo-client
cd leeroo-client
pip install -e .

Features

Synthetic Data Generation
Our advanced data generation pipeline employs multi-agent systems to create diverse training data, ensuring enhanced generalization and reliability.

Training
Our training pipeline is designed to execute optimal experiments tailored to your use case on any cloud provider. By integrating state-of-the-art techniques such as SFT, DPO, RLHF or building compound models, we consistently deliver high-performing custom models.

Evaluation
Utilize our Multi-Model LLM System to create high-quality LLM as judge Evaluation systems.

Deployment
Automatically deploy customized AI models without the need for AI Infra expertise. Uses VLLM / Fastchat for deployment.

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

leeroo_client-0.0.1.tar.gz (13.6 kB view details)

Uploaded Source

Built Distribution

leeroo_client-0.0.1-py3-none-any.whl (12.5 kB view details)

Uploaded Python 3

File details

Details for the file leeroo_client-0.0.1.tar.gz.

File metadata

  • Download URL: leeroo_client-0.0.1.tar.gz
  • Upload date:
  • Size: 13.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.10.14

File hashes

Hashes for leeroo_client-0.0.1.tar.gz
Algorithm Hash digest
SHA256 b038a6fa8b6447bd211485e9aea82c374e2848b7aaef489f4588aa1dfbd2fe1f
MD5 7f4b9ec4f439162c2584ab00af92155d
BLAKE2b-256 2761aca4cd876ddf95ab8243775135310192a923745f6c5dc694e231a243ea57

See more details on using hashes here.

File details

Details for the file leeroo_client-0.0.1-py3-none-any.whl.

File metadata

File hashes

Hashes for leeroo_client-0.0.1-py3-none-any.whl
Algorithm Hash digest
SHA256 bae5f7b51cab2febdb2f08b43d480ff8f5a98c931eaca8af2ee81315afa9a36c
MD5 fd957e760f9a9ab45718353b3c8d28f4
BLAKE2b-256 5e9b50d08fd08c1ec6de6f126cc478f22e20e469cb9bada446ec1acf16c8c8a1

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