Helping You Apply Generative AI Every Day

KatrinaP
Community Manager
Community Manager
1 min read 4 0 909

After a few months of hard work, we’re excited to announce a series of new Dataiku assets and capabilities to help you leverage large language models (LLMs) to supercharge your day-to-day operations!

The Generative AI Use Case Collection

Go beyond the chatbot functions to extend the impact of LLMs on your own practical challenges.

Explore the full Generative AI Use Case Collection, built thanks to the invaluable feedback from community members across industries. Here are our top picks for you:

A Responsible Generative AI Framework

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With great power comes great responsibility, so we have developed a baseline approach to ensure you mitigate risk when implementing Generative AI.

Discover the RAFT Framework (Reliable, Accountable, Fair, and Transparent), which is designed to help you move quickly with new AI initiatives in a safe and responsible manner.

The framework will also be useful to assess opportunities for improving existing projects as new policy proposals are being prepared, such as the U.S. Blueprint for an AI Bill of Rights and the EU AI Act.

New Dataiku Features - Coming Soon!

Lastly, we’re developing several new AI-powered product features to accelerate our mission of democratizing access to AI across people and organizations, available in limited preview. For example:

  • AI-Enhanced Data Preparation: With an AI assistant built into the prepare recipe, simply describe how you want to clean and transform your data, and Dataiku uses Generative AI to translate your objectives into a series of preparation steps that you can easily inspect and modify if needed.

  • Prompt Studios: Enabling many more people to become proficient prompt engineers, prompt studios are a central environment where you can design, test, and operationalize the optimal generative AI prompts to achieve your business goals.

We’re looking forward to hearing your feedback in the comments! Are you already using Generative AI in your organization, and if so, how? Anything else you’d like to see next in Dataiku?

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