AI agents are the new hot craze in generative AI.
On Tuesday at Google Cloud Next, the company introduced a new tool to help companies build AI agents.
“Vertex AI Agent Builder allows people to very easily and quickly build conversational agents,” Google Cloud CEO Thomas Kurian said.
In this case, it’s relying on Google Search (which in reality could or could not be accurate).
“We’re now bringing you grounding in Google Search, bringing the power of the world’s knowledge that Google Search offers through our grounding service to models.
Gemini 1.5 Pro, Google’s most capable generative AI model, is now available in public preview on Vertex AI, Google’s enterprise-focused AI development platform.
Gemini 1.5 Pro launched in February, joining Google’s Gemini family of generative AI models.
Gemini 1.5 was incredibly able to find the specific perfect 50 dunk and details from just its long context video understanding!
Gemini 1.5 Pro doesn’t process a million tokens at the snap of a finger.
Google previously said that latency is an area of focus, though, and that it’s working to “optimize” Gemini 1.5 Pro as time goes on.
After coming to Bard and the Pixel 8 Pro last week, Gemini, Google’s recently announced flagship gen AI model family, is launching for Google Cloud customers using Vertex AI.
Gemini Pro, a lightweight version of a more capable Gemini model, Gemini Ultra, currently in private preview for a “select set” of customers, is now accessible in public preview in Vertex AI, Google’s fully managed AI dev platform, via the new Gemini Pro API.
Citation checking — another existing Vertex AI capability, now with support for Gemini Pro — serves as an additional fact-checking measure by highlighting the sources of information Gemini Pro used to arrive at a response.
Input for Gemini Pro on Vertex AI will cost $0.00025 per character while output will cost $0.00005 per character.
And for a limited time — until early next year — Gemini Pro is free to try for Vertex AI customers.
