Key features of IBM watsonx.ai include:
- Use open-source frameworks and tools for code-based, automated, and visual data science capabilities in a secure, trusted studio environment.
- Leverage foundation models and generative AI with minimal data, advanced prompt-tuning capabilities, and full SDK and API libraries.
- Accelerate the full AI model lifecycle with all the tools and runtimes in one place, allowing you to train, validate, tune, and deploy AI models across clouds and on-premises environments.
- Access IBM-selected open source models and a family of IBM-trained foundation models to support a variety of generative AI tasks.
- Experiment with prompt engineering in the Prompt Lab to create better AI, faster.
- Automate the entire AI model lifecycle with AutoAI, which automates data preparation, model development, feature engineering, and hyperparameter optimization.
- Generate synthetic tabular data to address data gaps and improve speed to market with new AI solutions.
- Build a Q&A resource from a broad knowledge base to share organizational insights.
- Analyze large amounts of data and extract insights or facts using generative AI.
- Create new technology, content, and code with the power of generative AI to support developer and business user productivity.
