Generative AI or generative artificial intelligence
refers to the use of AI to create new content, like text,
images, music, audio, and videos.
Generative AI is powered by foundation models (large AI
models) that can multi-task and perform out-of-the-box
tasks, including summarization, Q&A, classification,
and more. Plus, with minimal training required, foundation
models can be adapted for targeted use cases with very
little example data.
How does generative AI
work?
Generative AI works by using an ML model to learn the
patterns and relationships in a dataset of human-created
content. It then uses the learned patterns to generate new
content.
The most common way to train a generative AI model is to
use supervised learning - the model is given a set of
human-created content and corresponding labels. It then
learns to generate content that is similar to the
human-created content and labeled with the same labels.
Common generative AI
applications
Generative AI processes vast content, creating insights
and answers via text, images, and user-friendly formats.
Generative AI can be used to:
- Improve customer interactions through enhanced chat and
search experiences
- Explore vast amounts of unstructured data through
conversational interfaces and summarizations
- Assist with repetitive tasks like replying to requests
for proposals (RFPs), localizing marketing content in five
languages, and checking customer contracts for compliance,
and more
What generative AI
offerings does Google Cloud have?
With
Vertex AI,
interact with, customize, and embed foundation models into
your applications—no ML expertise required. Access
foundation models on
Model Garden,
tune models via a simple UI on
Generative AI Studio,
or use models in a data science notebook.
And,
Duet AI
serves as an always-on AI collaborator that
helps users of all skill levels where they need it.
Need help implementing
generative AI solutions?
Work with Google's experts to get up and running quickly
with generative AI. Explore our consulting service
offerings in generative AI which can help your
organization with:
Check out the entire Google Cloud
Consulting portfolio
of service offerings.
Google’s approach to
responsible AI
Google Cloud products
and product updates have safety and security built in, are
guided by Google's
AI Principles,
and are focused on helping enterprises control their use of
IP, data, and individual privacy.
How It Works
Generative AI is poised to usher in a new wave of
interactive, multimodal experiences that transform
how we interact with information, brands, and one
another. Harnessing the power of decades of Google’s
research, innovation, and investment in AI, Google
Cloud is bringing businesses and governments the
ability to generate text, images, code, videos,
audio, and more from simple natural language
prompts.
Generative AI revolutionizes how media
companies can help consumers find relevant
content to satisfy their in-the-moment needs.
Watch the demo to see how
Vertex AI Search and Conversation
capabilities
(Conversation AI,
Enterprise Search,
and foundation models) work together to
improve the media content discovery journey.
Using conversational interactions, consumers
can receive highly personalized content and
service recommendations, including music,
video, and blogs.
The content discovery solution uses
Vertex AI Search and Conversation
as its core component, in addition to Vertex
AI LLM. Vertex AI Search and Conversation
enables developers to rapidly build and deploy
chatbots and search applications. With
step-by-step orchestration tools, even
developers with limited technical skills can
build and deploy gen apps in minutes.
Simplify how products are onboarded,
categorized, labeled for search, and marketed
with generative AI. Learn how
Vision AI,
Vertex AI Embeddings,
Vertex AI Matching Engine,
and
Generative AI Studio
help retailers generate detailed product
attributes for new SKUs, map them to existing
product hierarchies, and create detailed
product descriptions.
The
Vertex AI Matching Engine
provides a powerful way of matching
unstructured data (images, text, and more) to
semantically similar items. The
Vertex AI Embedding Extractor
makes extracting embeddings fast and easy and
can be used for use cases like searching
images by text, or searching text by images.
Using
Generative AI Studio,
you can test and customize Google's LLMs, in
addition to designing and testing your own
prompts.
New customers can get
$300 in free credits
to fully explore Google Cloud AI products.
Content generation and prototyping
Generate
creative content for multi-channel marketing
Deliver personalized marketing content to
target audiences fast and at low cost with
generative AI. See how
Generative AI Studio
accelerates creative workflows by rapidly
generating images and text for advertisements,
social media, website content, emails, and
more.
New customers can get
$300 in free credits
to fully explore Generative AI Studio and other
Google Cloud AI products.
Creative
prototyping reference architecture
Generative AI Studio comprises several
products. Imagen enables you to generate,
edit, and caption images with simple text
prompts. PaLM API for text enables you to
generate content in just a few sentences,
customizing it based on your data. Get started
quickly with our
prompt templates.
New customers can get
$300 in free credits
to fully explore Generative AI Studio and other
Google Cloud AI products.
Research and information discovery
Find and
summarize complex information in moments
Extract and summarize valuable information
from complex documents, such as 10-K forms,
research papers, third-party news services,
and financial reports—with a click of a
button. Watch how
Enterprise Search
uses natural language to understand semantic
queries, offer summarized responses, and
provide follow-up questions in this demo.
Research and
information discovery solution architecture
The solution uses
Vertex AI Search and Conversation
as its core component. With Vertex AI Search
and Conversation, even early career developers
can rapidly build and deploy chatbots and
search applications in minutes.
Improve patient
experiences by unifying healthcare datasets
Navigating the healthcare system is complex.
Generative AI can lower barriers by providing
conversational search experiences, even in the
absence of structured and pre-curated
knowledge bases. This provides personalized
results which can include healthcare coverage.
In this demo, watch how a healthcare
organization can use
Vertex AI Search and Conversation
to build a single knowledge base from
disparate datasets, including customer and
vendor sources and internal documentation.
Healthcare
search and discovery solution architecture
The solution uses
Vertex AI Search and Conversation
as its core component. Vertex AI Search and
Conversation is a fast way for developers to
build and deploy chatbots and search
applications in minutes—even for those with
limited technical skills or who are new to AI.
With generative AI support in Vertex AI,
enterprises can tune Codey, a family of code
models built on PaLM 2, using their own code
base. Today, these customized
Codey models
are available in Vertex AI, and later this
year, they will be connected to the Duet AI
experience. Any code that’s used to tune Codey
will be kept private, and won’t be used in the
broader foundation model training corpus.
Plus, users will have transparency and control
over where data is stored and how or if it is
used.
New customers can get
$300 in free credits
to fully explore Google Cloud AI products.
Code assistance
solution architecture
With Codey, you can generate code by
providing natural language instructions.
Moreover, you can converse with a bot to get
help with code-related questions.
New customers can get
$300 in free credits
to fully explore Google Cloud AI products.
Document summarization
Process and
summarize large documents using Vertex AI LLMs
With Generative AI Document Summarization,
deploy a one-click solution that helps detect
text in raw files and automate document
summaries. The solution establishes a pipeline
that uses
Cloud Vision Optical Character Recognition (OCR)
to extract text from uploaded PDF documents in
Cloud Storage,
creates a summary from the extracted text with
Vertex AI Generative AI Studio,
and stores the searchable summary in a
BigQuery database.
Training: Generative AI
Documentation: Generative AI
