Fireworks AI
Inference and fine-tuning platform for open models, with APIs for deployments, models, datasets, fine-tuning and batch jobs.
- Category
- Cloud & Data Platforms
- Type
- AI infrastructure
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- Access token
02Data
What you can sync.
- Deployments
- Models
- Datasets
- Fine-tuning jobs
- Batch jobs
Load Fireworks AI deployments into your Lake and model it in the Warehouse with the rest of your stack.
Need more? Name any other Fireworks AI data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- An access token
Fireworks AI uses an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in Fireworks AI if you need help.
04How it works
How it works in DataMind.
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Pick Fireworks AI.
Open Lake, pick Fireworks AI in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Fireworks AI API docs.
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Answer a few questions.
The AI reads the Fireworks AI documentation, then asks which credentials you will use, which data to sync (for example deployments and models), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
-
Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Fireworks AI data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
