• TRAINED
  • MONITOR
  • RECOVERY
  • HUMAN

How to fine tune custom models with your AI

Connect Together AI to your agent to turn raw datasets into specialized intelligence. Once connected, your agent handles the heavy lifting of training and monitoring.

Ask AI about this page

Short answer

How can I fine tune a model using my AI?

You upload your training data and tell your agent to start a fine-tuning job. Your agent then manages the training on dedicated hardware and tracks progress through checkpoints.

The training outcomes

What you get from training

These are the results of your fine-tuning requests.

TRAINED

Specialized model

The training finishes and you have a model tuned for your specific niche tasks. It understands your unique data patterns.

MONITOR

Live status updates

Your agent tracks the training progress. You can see if a job is still running or if it has completed.

RECOVERY

Checkpoint access

The AI pulls specific versions of the model from different stages of the run. This lets you inspect the training history.

HUMAN

Manual evaluation

You must review the model's performance yourself. The AI can't determine if the model's output is actually useful for your specific needs.

The workflow

What your AI does when the request arrives.

Your agent acts as the manager for the entire training lifecycle.

  1. Prepare data

    Your agent sends your training files to the Together AI environment.

    upload_file
  2. Start training

    The AI triggers the fine-tuning process on dedicated hardware using your data.

    create_fine_tune
  3. Track jobs

    Your agent monitors active training runs to check their current status.

    list_fine_tunesget_fine_tune
  4. Retrieve checkpoints

    The AI looks through the different stages of the training to find specific model versions.

    list_fine_tune_checkpoints

Try it

Copy these to start.

Use these prompts to kick off your training tasks.

Starting points

Swap out the file names and model IDs for your own.

Together AI Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_3DCNpnHYF8hhWcXn2SCKuEfpGwWZe18MoQz7sb18/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Together AI capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "together-ai-alternative-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_3DCNpnHYF8hhWcXn2SCKuEfpGwWZe18MoQz7sb18/mcp"
    }
  }
}
Copy into chat04
  • Upload my training data from training_set.json and start a fine-tune job.

  • Show me all the fine-tunes I have currently running.

  • Check the status of the fine-tune with ID model_123.

  • List the checkpoints available for my latest fine-tune job.

  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Start here

Connect Together AI once, then ask.

Link your account once. Your credentials stay encrypted, and you can immediately start managing models through your AI client.

Connect Together AI to your AI

FAQ

How this task behaves

  • 01

    Can my AI delete my existing models?

    No. The tools only allow for uploading, creating, listing, and getting model information.

  • 02

    Can the AI automatically decide when a model is finished training?

    No. The AI reports the status, but you must decide when to stop or move to the next phase.

  • 03

    How does the AI handle large datasets?

    The AI uses the upload tool to move your files to the Together AI environment before starting the job.

  • 04

    Can I see the progress of a training job?

    Yes. Your agent can check the status of specific jobs or list all active fine-tunes.

  • 05

    Can the AI change my training parameters mid-run?

    No. The tools are for initiating and monitoring jobs, not for modifying an active training process.

  • More questions about Together AI? See everything the Together AI Connector can do

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