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The AI assistant is a chat on Home that works through Valkyrie for you. Tell it what the model should get better at, attach your data if you have it, and it builds the training data, picks a base model, prices the run and prepares the fine-tune. Nothing that costs money happens until you confirm.
Valkyrie AI assistant conversation: the steps it took and a Start fine-tune card with time, cost and balance

Attach a table, say what to predict, and confirm the fine-tune.

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Start a conversation

1

Open Home

Make sure Do it with the AI assistant is selected at the top of the box.
2

Say what you need

Write it in your own words, for example “Train a model that predicts which customers will churn” or “Answer our customers the way our support team does”.
3

Attach your data

Use Upload a file, Paste text, or Use a dataset. You can attach more on any later message with the paperclip.
4

Ask the assistant

Click Ask the assistant. Each step it takes shows as a short line in the chat, with a link to anything it created.
Valkyrie Home start box in AI assistant mode with Paste text, Upload a file and Use a dataset

Say what you need, attach your data, and ask the assistant.

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What you can attach

Files can be up to 200 MB:
  • Tables: Excel (.xlsx, .xls), CSV, TSV, JSON, JSONL and Parquet. A table is saved as one of your datasets.
  • Text: TXT and Markdown, such as an FAQ, policies or past replies.
You can also start from one of your datasets or an example set, or attach nothing and describe the task.

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What it can do

  • Turn a table into training data: attach a table and say which column to predict, for example “predict whether a customer churns”. The assistant converts every row exactly, leaves out columns like IDs and names, and uses the column’s values as labels (or as answers, for numbers and free text).
  • Build a dataset from text: from an FAQ or policies, it writes question and answer examples using only facts from your material. This runs in the background for a few minutes.
  • Pick a base model from the ones Valkyrie has tested, and say why.
  • Tell you the time and cost of a fine-tune, and your wallet balance.
  • Start the fine-tune, then tell you how it is going and, when it is done, how much better it got against the base model. See Test results.
  • Deploy it as an endpoint, running until you stop it or on office hours.

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You stay in control

Before a fine-tune or a deploy, the assistant shows a card with the model, the data, the time, the cost and your balance. It only starts when you click Start fine-tune or Deploy, and Not now cancels it. Your conversation stays in the page address, so you can leave and come back, and Pick up where you left off under the box lists your recent conversations. New conversation starts over.

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Prefer to do it yourself?

Switch Home to I have my examples, or open New fine-tune from the top bar. The Fine-tune a model guide covers both ways.
Where the assistant isn’t available yet, Home opens on I have my examples, and Do it with the AI assistant shows a padlock with a link back to your own examples.