- Google Cloud integrated its Gemini AI into Vertex tools.
- Vertex AI upgrades allow for building chatbots, generating images, and accelerating coding.
- The launch shows how big tech taps large language models to upgrade cloud products.
Gemini AI + Vertex
Google Cloud announced a new integration of its Gemini AI into Vertex platform tools, enabling businesses to create intelligent search engines across internal data and apps without coding.
Unveiled Wednesday, Vertex AI users can now leverage Gemini’s natural language smarts to build chatbots, generate images, and accelerate coding projects.
But the eye-catching addition is a no-code search within company repositories leveraging Gemini’s language comprehension ability.
What’s Inside?
“Think of it as Google quality search. But for a company’s data,” said Google Cloud CEO Thomas Kurian.
Vertex AI Search allows querying info from data sources like OneDrive or Salesforce with plain English questions. It can scan and summarize content found across multiple sources instantly.
Google states that the tool empowers product managers and customer service teams to build AI applications without needing developers.
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The Upgrade!
Vertex platform updates come as Google rolls out some Gemini capabilities for free to developers and businesses wanting a test run. But it says the company maintains customer data privacy and doesn’t feed info to Gemini without consent.
As AI is leading in cloud-based software tools, Google Cloud’s Vertex enhancements showcase how vendors like Microsoft and Amazon may tap large language models to upgrade products.
With Gemini’s integration, Google shows that while OpenAI may grab headlines in consumer AI, Big Tech still dominates behind the scenes.
