How to choose the right AI foundation model

While most organisations are clear about the outcomes they expect from generative AI, what is not so well understood is the way to go about realizing these outcomes. Different outcomes require different approaches—in terms of the data sets you prepare and the AI models you employ.

Choosing the wrong model can severely impact your business. Learn how to use the model selection framework to balance performance requirements with cost, risks, deployment needs and stakeholder requirements to right-size the most appropriate model for your use case. Accelerate AI Workflows That are Built with Responsibility, Transparency & Explainability.

Fill out the form to access content

Please enable JavaScript in your browser to complete this form.

I’d like my contact details to be shared with IBM so they can keep me informed about products, services, and offers. More information on how IBM uses data and ways to opt out can be found in the IBM Privacy Statement.

By Email
By Phone

By submitting this form, you agree to have your contact information passed along for the purpose of following up on your interests and in order to receive communications regarding IBM products, services, and events. The data sent will be processed in Canada and provided to IBM who will assume responsibility for processing and Opt-out and Information Removal. For more information, please read our Terms of Use, Privacy, Opt-out & Information Removal below