IBM Unveils New Generative AI Features and Capabilities for Watsonx

IBM, a leading provider of enterprise software and cloud computing, has announced new generative AI features and capabilities for its Watsonx data science platform. The new features are designed to help IBM customers build and deploy AI solutions more quickly and easily.

One of the most significant new features is the Granite series models. These are large language models (LLMs) that have been trained on curated, enterprise-quality data. This means that they are less likely to be biased than models that have been trained on publicly scraped data. The Granite series models can be used for a variety of tasks, such as summarization, content generation, and insight extraction.

Another new feature is Tuning Studio. This is a tool that allows users to tailor generative AI models to their data. It can be used to fine-tune models to new tasks with as few as 100 to 1,000 examples. This makes it easier for users to get the most out of their generative AI models.

The synthetic data generator is another useful new feature. This tool can be used to generate synthetic data from custom data schemas and internal datasets. This can be useful for testing and training AI models, as it can help to reduce the risk of bias.

The generative AI capabilities in Watsonx.data are also a welcome addition. These capabilities allow users to discover, augment, visualize, and refine data for AI. They can be used to simplify and accelerate the way users interact with their data.

Finally, IBM has also announced Watsonx.governance. This toolkit provides mechanisms to protect customer privacy, detect model bias and drift, and help organizations meet ethics standards. This is an important addition, as it shows that IBM is committed to the responsible development of generative AI technology.

Overall, the new features and capabilities announced for Watsonx are a significant development. They make Watsonx a more powerful and versatile platform for building and deploying AI solutions.

How can these new features help businesses?

The new features and capabilities announced for Watsonx can help businesses in a variety of ways. For example, the Granite series models can be used to:

• Generate personalized customer experiences
• Create more engaging content
• Improve the accuracy of predictive models

Tuning Studio can be used to:

• Fine-tune generative AI models to specific tasks
• Improve the performance of AI models

The synthetic data generator can be used to:

• Test and train AI models without the need for real data
• Reduce the risk of bias in AI models

The generative AI capabilities in Watsonx.data can be used to:

• Make it easier to discover and use data for AI
• Improve the accuracy of AI models

Watsonx.governance can be used to:

• Protect customer privacy
• Detect model bias and drift
• Help organizations meet ethics standards

Conclusion

The new features and capabilities announced for Watsonx are a significant development. They make Watsonx a more powerful and versatile platform for building and deploying AI solutions. This is good news for businesses that are looking to adopt AI technology.