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Gradient AI: A Quick Overview and Setup Guide

Overview: Welcome to Gradient, a powerful platform for fine-tuning language models and deploying them in production systems with ease. Gradient simplifies the process of fine-tuning, making it accessible through a straightforward API. Here, you'll find a brief guide to help you get started with Gradient, from setup to fine-tuning your own language model.

Setup:

  1. Access Token and Workspace ID:

    • Before diving in, make sure to obtain your Gradient access token and workspace ID. You can find these in your Gradient account settings.

    • Set your access token and workspace ID in the environment variables using the provided code snippet:

      import os
os.environ['GRADIENT_ACCESS_TOKEN'] = "YOUR_ACCESS_TOKEN"
os.environ['GRADIENT_WORKSPACE_ID'] = "YOUR_WORKSPACE_ID"

  2. Installation:

    • Install the Gradient Python SDK. You can find the CLI and SDK links for Python and NodeJS in the documentation.

Fine-Tuning:

  • What is Fine-Tuning?

    • Fine-tuning involves taking a pre-trained language model and further training it on a specific dataset, allowing it to specialize in a particular domain without losing its general language understanding.

  • How to Fine-Tune:

    • Utilize the Gradient Python SDK to fine-tune models with a single API call. The code you provided demonstrates the process, including defining a base model, creating a model adapter, and fine-tuning with a custom dataset.

Inference:

  • What is Inference?
    • Inference is the process of using a trained model to generate completions based on a given prompt. Gradient allows you to perform inference on both base open-source models and models fine-tuned on the platform.

Why Use Open-Source Models on Gradient?

  • Fine-tuning open-source models on Gradient provides several advantages:
    • Ownership and control over your fine-tuned model and private data.
    • Customization options with full access to the model's architecture and code.
    • Participation in the open-source community, fostering collaboration and innovation.

CLI and Automation:

  • Gradient CLI:
    • The Gradient Command-Line Interface (CLI) is a powerful tool to interact with the platform directly from the command line. It enables tasks such as fine-tuning models, querying models with prompts, and managing workspaces.

Documentation: Explore the detailed documentation here for comprehensive information on Gradient, including fine-tuning, inference, CLI usage, and more.

Conclusion: With Gradient, you have the tools to fine-tune language models efficiently and use them in your applications. Explore the documentation, experiment with fine-tuning parameters, and join the vibrant community on Discord for support and feedback. Happy fine-tuning!