What developers trying out Google Gemini should know about their data

Developers who have jumped in to try out Google Gemini for free should know their data might be used to train its generative artificial intelligence models, including those that power Google AI Studio and Gemini Pro.
The tech giant last week made Gemini Pro available to developers and businesses that are keen to build their own applications using its generative AI model.
Developers can access the model via the Gemini API in Google AI Studio, while organizations will have to do so via Google Cloud's machine learning and development platform, Vertex AI. Also: AI will change the role of developers forever, but leaders say that's good news.
Developers currently have free access to Gemini Pro and Gemini Pro Vision, capped at 60 requests per minute, which Google said is suitable for most app development requirements.
The Gemini Pro Vision model allows text and imagery to be accepted as input, although output remains as text.
Vertex AI developers can trial both AI models, within the same cap, for free until general availability, which is expected to be early 2024.
Following this date, charges per 1,000 characters or per image will apply across Google AI Studio and Vertex AI. Google said it had cut prices fourfold on input and twofold on output.
Gemini Pro supports 38 languages and is available across more than 180 markets, including the Asia-Pacific region.
Developers can move their AI Studio code to Vertex AI if they want a fully managed AI platform that offers more customization and Google Cloud features, including data governance and compliance, and security.
Google is touting AI Studio as the fastest way to build using Gemini.
Also: Generative AI means more productivity, and a likely retrenchment for software developers.
Google told ZDNET that it uses the API inputs and outputs to improve product quality.
To protect developers' privacy, Google said their data is de-identified and disassociated from their API key and Google account, which is needed to log in to Google AI Studio.
This protection takes place done before the reviewers can see or annotate the data.
Also: AI in 2023: A year of breakthroughs that left no human thing unchanged.
Also: These 5 major tech advances of 2023 were the biggest game-changers.
Accessing Gemini models via Vertex Ai also allows enterprise customers to tune the models with their own data.
Google says it does not train its generative AI models on inputs or outputs from its cloud customers.


This Cyber News was published on www.zdnet.com. Publication date: Thu, 21 Dec 2023 12:43:05 +0000


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