Generative artificial intelligence (AI) describes algorithms (such as ChatGPT) that can be used to create new content, including audio, code, images, text, simulations, and videos. Powered by large models that are pre-trained on vast corpora of data and commonly referred to as foundation models (FMs)

What’s the difference between machine learning and artificial intelligence?

Artificial intelligence is pretty much just what it sounds like—the practice of getting machines to mimic human intelligence to perform tasks. Voice assistants like Siri and Alexa are founded on AI technology, as are customer service chatbots that pop up to help you navigate websites.

Machine learning is a type of artificial intelligence. Through machine learning, practitioners develop artificial intelligence through models that can “learn” from data patterns without human direction.

What Pinnacle AI® can do for you?

Implement and use foundation models

  • Choose foundation models offered by model providers
  • Try out the model and/or deploy
  • Fine-tune model and automate ML workflow
  • Data stays in your account including model, instances, logs, model inputs, model outputs

Design Foundation model using Private Data model Scenario:

Privately customize foundation models using your organization’s data.