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AI & Machine Learning
Generative AI support on Vertex AI is now generally available
June 7, 2023
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gen_ai_on_vertex_ai.max-2500x2500.jpg
June Yang
VP, Cloud AI & Industry Solutions
Google Cloud Next
Registration is open for our flagship event August 29-31.
Register
At Google Cloud, we're committed to making generative AI useful for
everyone. Doing so requires more than making powerful foundation
models available to businesses, governments, and developers. Models
also need to be backed by platforms that make adoption faster and
safer, with onramps to meet organizations wherever they are,
regardless of their software or data science expertise.
Today, we're excited to announce general availability of Generative
AI support on Vertex AI, giving customers access to our latest
platform capabilities for building and powering custom generative AI
applications. With this update, developers can access our text model
powered by PaLM 2, Embeddings API for text, and other foundation
models in Model Garden, as well as leverage user-friendly tools in
Generative AI Studio for model tuning and deployment. Backed by
enterprise-grade data governance, security, and safety features,
Vertex AI can make it easier than ever for customers to access
foundation models, customize them with their own data, and quickly
build generative AI applications.
Vertex AI powers generative AI model customization for enterprise
developers, data scientists, and everyone in between
Foundation models are the starting point for creating customized
generative AI applications--but models alone are not sufficient.
That's why in March, we announced Generative AI support on Vertex AI,
the biggest-ever update to our machine learning platform, and began
working with trusted testers. Now generally available to customers,
Model Garden and Generative AI Studio leverage Google Cloud's tight
partnership with Google Research and Google DeepMind, making it easy
for developers and data scientists to use, customize, and deploy
models.
Model Garden lets customers access and experiment with foundation
models from Google and its partners, with over 60 models available
and many more to come. In addition to making Model Garden, PaLM 2,
and Embeddings API for text generally available, we're also making
our recently-announced Codey model for code completion, generation,
and chat available for public preview.
Along with these and other foundation models, Vertex AI offers a full
ecosystem of tools to help builders tune, deploy, and govern models
in production. For example, in May, we were the first enterprise ML
platform to provide Reinforcement Learning with Human Feedback, or
RLHF, which helps improve model usefulness and reduce cost. We've
also upgraded Vertex AI's suite of MLOps tools for model development
and maintenance for customers who need to manage large models. With
Generative AI Studio generally available, customers can now leverage
an even wider range of tools, including multiple tuning methods for
large models, that can significantly accelerate development of custom
generative AI applications.
We're already seeing innovative results from early adopters via our
trusted tester program and preview period. For example, leading
global airline supplier GA Telesis is using our PaLM model on Vertex
AI to build a data extraction solution that automatically synthesizes
email orders and provides customers a quote. This eliminates the need
for their sales teams to manually cross-reference emails with
inventory availability. GitLab is leveraging our Codey model on
Vertex AI for their "Explain this Vulnerability" feature, which gives
their users a natural language description of code vulnerabilities,
along with recommendations for resolving them. Canva, the visual
communication platform, is using Google Cloud's rich generative AI
capabilities in language translation to better support its
non-English speaking users, letting users easily translate
presentations, posters, social media posts, and more into over a
hundred languages. The company is also testing ways that Google's
PaLM technology can turn short video clips into longer, more
compelling stories.
And today, we're pleased to share that Typeface, and DataStax are
also building new generative AI capabilities with Vertex AI.
Now is the time to build
These announcements add to our news yesterday that we've added
expanded access to Enterprise Search on Generative AI App Builder
(Gen App Builder), allowing businesses to create custom chatbots and
search engines that combine generative AI with Google's semantic
search technologies. Gen App Builder offers out-of-box solutions to
common generative AI use cases, Vertex AI's expansive platform
capabilities can accelerate wide-ranging innovation, and growing
ecosystem support from partners help our customers build freely.
Together, these technologies and partnerships mean the full spectrum
of developers and data scientists, from novices to seasoned experts,
can build generative AI apps with enterprise-ready services on Google
Cloud.
As with our entire Cloud portfolio, Vertex AI and Gen App Builder
help give customers complete control over their data; it doesn't need
to leave the customer's tenant, is encrypted both in transit and at
rest, and is not shared or used to train Google models. Google
rigorously evaluates our new models to ensure they meet our
Responsible AI Principles, and all of our generative AI offerings
include the user security, data management, and access controls
Google Cloud customers have come to expect.
We're grateful to our trusted testers for their integral role in
bringing Generative AI support on Vertex AI to market, and we look
forward to seeing what customers across all industries create with
our growing catalog. To learn more about Google Cloud's generative AI
products, visit our solutions page, and to keep up with our latest AI
news, don't miss "The Prompt" or our generative AI primer for
executives on Transform with Google Cloud.
Posted in
* AI & Machine Learning
* Developers & Practitioners
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