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Showing posts with label Studio AutoAI. Show all posts
Showing posts with label Studio AutoAI. Show all posts

Wednesday, May 10, 2023

IBM AI Joins in with WatsonX

 Saw some hints at this earlier,  IBM had to come up with some related capabilities.  We had worked with some of their Watson spin offs for Corporate knowledge directions.   Was not impressed at the time.  But here we go again.  Note pointers to governance and Generative AI.  Like to see it.  What happened to 'IBM Watson Studio AutoAI ' mentioned recently? Note collaborations.

IBM Unveils the Watsonx Platform to Power Next-Generation Foundation Models for Business

- Watsonx is a new platform to be released for foundation models and generative AI, offering a studio, data store, and governance toolkit

- New Watson products infused with foundation models and generative AI to be launched for code, AIOps, digital labor, security, and sustainability

- New collaboration with Hugging Face will work to bring the best of open-source AI models to the enterprise on the watsonx platform

- IBM Consulting announces a Center of Excellence for generative AI with over 1000 AI experts ready to implement clients' business transformation with enterprise-grade AI

May 9, 2023

Tuesday, March 28, 2023

IBM Watson StudioAI at Masters?

Below possibly methods being used for Masters demonstration.  I had previously looked at Chef Watson.

From OpenAI GPT:

IBM Watson Studio AutoAI is a cloud-based tool that helps users to automatically build, train and deploy machine learning models. It uses a combination of techniques, including deep learning and generative adversarial networks (GANs), to generate synthetic data sets that can be used for training AI models.

The GANs are used to generate synthetic data by creating two neural networks: a generator network and a discriminator network. The generator network generates synthetic data based on a given set of inputs, while the discriminator network evaluates the synthetic data and compares it with the real data set. By iterating through this process, the generator network learns to create more realistic synthetic data sets that can be used for training AI models.

In addition to using GANs for generating synthetic data sets, IBM has also worked on developing generative AI models for other applications. For example, IBM Research has developed a system called "AI Composer" that uses deep learning to generate original musical compositions. They have also developed a system called "Chef Watson" that uses machine learning to generate new and innovative recipe ideas.