Understanding Vertex AI on Google Cloud: Key Terms Explained

CanopasCanopas
2 min read

Google is making the AI model publicly available, which it has used for BARD and other products like Gmail, Google Docs, etc.

Quite often, we want to implement a chatbot for us, that can interact with humans as humans. For that purpose, google is making our life more accessible, by providing a pre-trained model readily available, rather than we need to implement it by ourselves.

For Chat models, Google is providing a service named Vertex AI.

In this blog, we will introduce some of the terms used by Google Vertex AI and will clarify things I felt you should grasp easily that drove me crazy while going through it.

No doubt Google has documented everything, but sometimes it becomes hard to understand. So I’m trying to make it more clear, especially for developers!

Table Of Contents

  • What is Vertex AI?

  • What is Generative AI Studio?

  • What is a Model Garden?

  • What are Foundation Models?

  • What is Custom Model?

  • What is fine-tuning of a Model?

  • What is a Prompt Tuning of a Model?

  • What is the PaLM 2 Model?

  • What is PaLM API?

  • Conclusion

What is Vertex AI?
It’s a service provided by Google Cloud, that lets you train and deploy Machine Learning(ML) models and AI applications. For more information visit Vertex AI.

Want to be a Vertex AI pro? We've got you covered. Head over to our definitive terminology guide on Canopas Blog and elevate your knowledge.

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Programming BlogsBeginner DevelopersAIVertex-AIgoogle cloud

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