What is Google LaMDA?
Why is it important?
And what does it mean for you?
I’m covering all this and more in this complete Google LaMDA 2 overview.
Hey friends!
I’m Tasia and welcome back to my YouTube Channel where I share tech tips, app reviews,
and so much Google content, you’d think I’m Google LaMDA?
Anyway, let’s jump into all things machine learning, Google-style.
Let’s go!
So first things first, what is Google LaMDA?
Well, LaMDA is an acronym that stands for Language Model for Dialogue Applications.
Ok, but what does that mean?
Well, it’s an AI system that understands and generates ‘natural conversations’.
In lamens terms: Google is using machine learning to have sensible open-ended conversations
between you and, well, artificial intelligence.
It’s a way for you to have free-flowing conversations with yourself and technology.
What makes LaMDA so unique is that language is really hard to model in machine learning.
So, you might be familiar with chatbots or our virtual assistants, but LaMDA is next-level
AI.
Most of our chatbots and virtual assistants are programmed with pre-determined questions
and answers.
So, you’re not really having a conversation with these systems, you're asking a question
and getting an answer pulled from specific data sets.
Well, with LaMDA, you can have more free-flowing open-ended conversations, with data being
pulled from a multitude of internet resources.
In other words, it’s actually learning via our speaking patterns, topics, speech patterns,
emotions, and so on.
So you know how when you’re talking with a friend and you start talking about one thing,
but sure enough, that conversation morphs into a different topic altogether?
Well, this is that, but with conversational AI, rather than your actual friend.
It’s pretty neat.
So without getting into how Google developed LaMDA, because we could be here all day, let’s
get into an overview of the latest updates.
At Google IO 2022, Google introduced us to LaMDA 2, the latest version of this conversational
AI.
They actually did a live demo of one of the newest capabilities, including something they
are calling List It.
List It takes a complex goal or topic and breaks it down into relevant subtasks.
So it will actually help you figure out what it is you’re trying to do and then generate
useful ideas you might not have thought of.
This is like the ultimate to-do list.
In the Google IO demo, they use the example of wanting to plant a vegetable garden.
And, instantly, LaMDA has come up with an actionable to-do list for the steps to take
if planting a vegetable garden.
Plus, you can dive deeper by tapping on one of the items, and LaMDA will provide even
more suggestions.
And, as if that’s not cool enough, you can have it generate a tip for you, based on your
specific goal or topic.
So I really want you to think of how you could use LaMDA in a whole range of use-cases.
And List It is just one tiny example.
Google also highlighted Imagine It at Google IO 2022.
Essentially, it’s just what it sounds like.
LaMDA can take an idea and generate imaginative and relevant descriptions.
So, their example here was to imagine what the deepest part of the ocean feels like and
LaMDA described a scene, and included follow-up questions.
This would have been really helpful during my days of creative essay writing.
I could have just had LaMDA generate ideas for me.
What a time to be alive.
But that’s not all LaMDA can do.
Google also showcased Talk About It capabilities.
In this example, LaMDA starts the conversation - this one about dogs - and then a natural
conversation takes place.
You can get a sense of the conversational tone here too.
And no matter the question asked, LaMDA understands this is a conversation about dogs and is able
to stay on topic, regardless.
How neat is that?
But cooler yet is that Google wants you to help them test LaMDA.
Well, kind of.
Googlers have been using the AI Test Kitchen to work with LaMDA and pinpoint areas of improvement.
And soon, Google wants to roll out AI Test Kitchen to select academics, researchers,
and policy makers in the United States.
Hopefully, that will lead to wider availability, but for now, Google wants to ensure accuracy,
and appropriate, non-biased conversational learning is taking place.
If you want to learn even more about Google LaMDA, I’ve linked to the full Google IO
video in the description below.
Oh, the possibilities.
So now I want to hear from you.
What do you think of Google LaMDA 2?
Let everyone know in the comments below.
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See ya next time!