Addy AI

What is Addy AI?

Addy AI is associated with LangDrive, a platform offering an API that simplifies fine-tuning large language models (LLMs). It lets you connect your own private data to train and personalize language models. You keep ownership of your model weights, which supports data privacy and lets you tune model performance to your specific needs. Deploying trained models is straightforward thanks to integration with Hugging Face. LangDrive is built for developers and businesses who want to use LLMs in their applications without handling the technical details of tuning each model themselves.

Who created Addy AI?

LangDrive was started by a team that developed an API designed to simplify the process of fine-tuning large language models. The framework makes it possible to train personalized models using private datasets, helping with data privacy and model customization, and supports deployment through the Hugging Face platform.

What is Addy AI used for?

• Connect Private Data: Use your own datasets to train language models.
• Single API Integration: Access and fine-tune over 100 LLMs through one API.
• Ownership of Model Weights: Keep control of your model weights for privacy and customization.
• Deployment: Deploy trained models to Hugging Face.
• Open Source LLM Support: Train a wide variety of open-source LLMs.

Who is Addy AI for?

• Developers
• Businesses

How to use Addy AI?

1. Connect Your Data: Import data using LangDrive’s data connectors, which work with sources like Google Drive, Google Cloud Firestore, and emails. LangDrive prepares this data for training.
2. Train Open Source LLMs: Pick a model from the supported list, or add a specific Hugging Face model’s URL to your YAML config. LangDrive handles formatting the training data, setting up the environment, and running the training.
3. Own Your Weights: Once trained, download the weights to your own machine or deploy them directly to Hugging Face.
4. Playground: Experiment with the open-source models available on LangDrive, including a chat feature for interacting with them.
5. API Reference: Use the provided API to call supported models and generate responses.
6. Addy AI Integration: Improve email management with AI-powered email services, training custom AI assistants to boost efficiency.

LangDrive simplifies fine-tuning large language models by letting you connect private datasets for personalized model training while keeping your data private. Its Hugging Face integration makes deployment smooth, making it a practical choice for developers and businesses that want to customize and deploy language models efficiently.