[MUSIC PLAYING] JOE FERNANDEZ: Hey, folks. I’m Joe Fernandez with the
AI Developer Relations Team at Google. If you’re interested in
building artificial intelligence into your development
projects, there was a ton of content for AI GENIUS OTO
you at Google I/O this year. However, I know
you’re short on time, so I’m going to cover the top
items in the next five minutes. And stay tuned to
the end to find out how you can start programming AI GENIUS OTO
with Google’s generative AI models. Are you at all confused by
artificial intelligence, machine learning, and
how that all works? Our lead AI developer advocate
Laurence Moroney presented a quick primer for developers
just getting started with AI technology, with kittens.
https://www.linkedin.com/pulse/ai-genius-oto-1-7-otos-links-here-hot-bonuses-upsell
https://www.linkedin.com/pulse/ai-genius-oto-1-7-otos-links-here-hot-bonuses-upsell-1e
You’ll love it. Hey, I like that idea. Can we get a kitten
for this video? No. That’s not the same. Moving on. On a more serious note,
artificial intelligence is an extremely
powerful tool that we need to approach in
a responsible way. And our responsible
AI team talked about Google’s principled
approach to generative AI and how you can apply our
principles, best practices, and tools to guide
your own AI projects. This is a very important
issue for anyone working in this space. So if you haven’t thought about
this, or even if you have, I recommend you check
out that session, to make sure that your
AI products work well for all your users. Do you love crunching
numbers in spreadsheets? Do you ever wish that you
could use AI to analyze your spreadsheet data? The simple ML team
has you covered.
They’ve built an extension
for Google Sheets and just added new features
for forecasting and anomaly detection using AI technology. No coding experience required. Machine learning models
are at the core of all AI applications, but finding
and evaluating them can be a challenge
for many developers. Kaggle, the machine
learning community, has launched a dedicated hub
to help you discover hundreds of open source models
developed by Google and other top researchers. With the new hub, you can
evaluate, tweak, and test models right in
your web browser. MediaPipe is a name
you may have heard if you’ve tried building ML
apps for Android or other app platforms. This year, the MediaPipe team
is updating their solutions to be easier to use
across platforms, more customizable, and
with the performance you’d expect from a
team that specializes in building high-output,
low-latency ML pipelines.
They even have solutions for
applying fun video effects. Hey. Wait a minute. You’re not going to apply
that stuff to my head are you? I didn’t agree to that. Hey. Hold on. [BEEP] TensorFlow is at
the heart of machine learning efforts at Google and
for thousands of ML developers worldwide. This year, the
TensorFlow team is advancing support for very
large models with DTensor or parallel
processing for models. They’re also making
it easier for you to use JAX models in
the TensorFlow ecosystem with a new tool called JAX2TF. Running a machine
learning task in a web browser with JavaScript might
seem a little ambitious, but there are
hundreds of thousands of developers and researchers
doing exactly that, every week, with WebML technology. Jason Mays provided a roundup
of advancements in WebML, including WebGPU support, a new
Zero to Hero training course, and a whole lot more. Computer vision and
natural language processing are some of the most popular
applications of AI technology, and Keras has some
really easy-to-use APIs to help you build those
models and applications. In his Applied ML
with Keras session, Google engineer Jonathan
Bischof shows you how to build generative AI
solutions for images and text.
Finally, everybody seems to be
chatting with AI these days, and we want developers to be
able to work with Google’s generative AI models too. With that in mind, we
announced the PaLM API for building generative
AI applications and a tool called
Maker Suite that lets you quickly prototype
those apps in your web browser. Get on the wait list to access
the PaLM API by following the link in the description. And that’s all the
time I have to tell you about all the amazing
advancements in AI at Google I/O this year. Links to everything I talked
about are in the description. It’s an amazing time
to be working in AI, and we’re excited
to see what you create with this technology. So keep learning, keep
building, make something great. We’ll see you again soon. [MUSIC PLAYING].
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