Hey there and welcome to the Gemini course.
Here you will learn how to use Google's most advanced AI models for a variety of use cases, from content
generation and translation to image and video creation, audio processing, coding, and more.
You will discover how Gemini can enhance your work, personal productivity studies, and even help you
build custom agents, automated workflows, and apps using Gemini's APIs.
This course focuses on version 2.5, the most recent release from Google at the time of this recording,
but I've designed the lessons to be future proof, so the concepts and examples will continue to apply
even as newer models arrive.
So to get started, let me show you where to find the latest Gemini models and walk you through some
of the benchmarks that make Gemini stand out in today's AI landscape.
I'm here on Google, which is where Google shares everything about their AI initiatives, including
the latest models, product updates, tools you can try or build with.
To discover more about Gemini.
Let's go to the build menu and under Discover Models, let's click on Gemini.
So right here we have two ways to start interacting with Gemini.
We can either go to the chat assistant or we can start building with Gemini from Google AI studio.
We're going to explore both of these options in a moment.
But first let's scroll down to see what we have on this page.
And we start with a statement that showcases the reasoning capabilities of Gemini.
This is an important one because this is directly linked to the accuracy of this model.
What it means is that unlike other AI models, Gemini don't just guess what sounds right.
It actually internally reflects before responding, leading to more accurate answers.
Down here we have more details about the Gemini 2.5 model family and its different versions.
This might not matter much when you're just starting out, but as you move into more advanced use cases,
choosing the right version becomes important.
If you're working with something complex like coding, problem solving, or math, it's best to go with
Gemini 2.5 Pro, the most powerful model in the lineup.
But if you're doing something lighter like summarizing an article or extracting quick facts, 2.5 Flash
Lite will be faster and more efficient.
If you want to have access to the complete scientific paper wrote by the Gemini team on Gemini 2.5,
you can scroll down to the 2.5 Tech report.
I'm going to leave a link for this article right below the name of this lesson, so it's easier for
you to access it later if you want to.
This is a technical report that's packed with insights that can teach you valuable concepts.
If you're looking to go beyond basic usage and truly understand what makes this model family special.
This article shows some benchmarks comparing Gemini to other models in the market like OpenAI, Deep
Seek Cloud, etc. for example, if we scroll down a bit, we can see a chart comparing how much faster
Gemini is compared to other models.
And throughout the article you are going to have some more benchmarks, but I want to show you a more
user friendly one, which is called LM arena AI.
This is a crowd driven benchmarking platform where users can compare the outputs of different AI models.
If we go to the trophy icon on the left panel, we can see the leaderboard overview.
So it gives us a sense of the power of Gemini 2.5 Pro.
Here we can see that it's winning on text, web development, vision capabilities and search.
And since users don't know which models they are voting for when they are making the comparisons, This
becomes a trustworthy source of benchmarks if you want to compare different AI models.
So I just wanted to show you these resources.
Remember that everything related to AI is changing very fast.
So rather than trusting 100% the information of this video, it is better that you access these platforms
on a regular basis.
So you keep up to date with the advancements in the AI space.
So let's close all this.
Let's go back to the Gemini page.
And we are going to get started with Gemini by going to Google AI studio.
Let's click on build with Gemini.
You can see at the top here that the address for this website is google.com, in case you want to go
back here later.
And here we are going to be able to experiment with Gemini 2.5 in a variety of ways.
So we are going to be able to test many different interesting use cases of Gemini.
So let's go to the next video so we can get started.