Databricks Partnership

Accelerate LLM building with SuperAnnotate and Databricks

Simplify dataset creation and model evaluation with Databricks and SuperAnnotate to accelerate your enterprise's GenAI adoption journey.

SuperAnnotate and Databricks partnership

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Fine-tune LLMs on your data with SuperAnnotate & Databricks

Hear it from our customers

We reviewed several companies and selected SuperAnnotate due to the high quality of their data. They stand out for their data quality, attention to detail, and fantastic communication. They are an invaluable part of our data pipeline. I don't see them as a vendor, I see them as a partner.
By using SuperAnnotate's data labeling tools alongside Databricks' extensive data processing capabilities, we've really streamlined how we create and refine our training datasets. This means we can deliver sharp and contextually relevant advertising to our clients with greater precision.
SuperAnnotate has been an invaluable partner in creating the golden datasets needed to benchmark our models and in enabling us to craft high-quality prompts and instructions for our LLM Judges.

Reference Architecture

SuperAnnotate fills the gaps needed to successfully deploy and evaluate customized models on Databricks.

SuperAnnotate and Databricks reference architecture diagram

Get your data LLM ready

Machine learning models reflect the data they are trained on. SuperAnnotate seamlessly integrates with Databricks, enabling you to build and deploy superior models by easily creating high-quality datasets.

Get to know your model inside out

Launching an LLM requires thoroughly understanding its performance in your specific use case. With SuperAnnotate, you can create custom evaluation tasks for models hosted in Databricks and distribute them to domain experts to gather the critical data needed for informed decision-making.

Latest Ecosystem Updates

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