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Artificial Intelligence has become one of the fastest-growing fields of our recent years. These new technologies will change the world forever, presenting us with a significant choice:
If you’re reading this, I’m pretty sure you fall into the first camp: you want to take advantage of AI to enhance your daily tasks.
However, there’s a significant problem. Major companies are striving to distinguish themselves by flooding the market with a diverse range of applications. This makes it hard to know all the options that are out there waiting to be used.
This article aims to introduce Google’s top AI applications and guide you on how to start using them today.
Google Gemini
Gemini is an advanced Large Language Model (LLM), a direct competitor of OpenAI’s GPT models, available for everyone to use for free!
Screenshot of Gemini main interface
It integrates Google’s extensive research in AI to provide more accurate, context-aware responses, making it highly effective for applications like chatbots, virtual assistants, and other language-based AI solutions. Some of the key characteristics that make Gemini one of the best LLMs in the market are:
- Free to Use: No payment is required.
- Multimodal Capabilities: It can deal with images and documents.
- User-Friendly Interface: Easy to use.
Getting Started
To start using Google’s Gemini, you just need to have a Google account. You can go to Gemini’s main interface and start chatting with it today.
Google Cloud
Set of cloud computing services that run on Google’s infrastructure. It offers multiple services including computing, storage, analytics, and machine learning. It can be used to build, train, and deploy AI models and solutions.
Its main AI services include:
- AutoML: Designed with ready-to-use APIs for users with basic ML knowledge. Its main tools include AutoML Vision or AutoML Natural Language among others.
- Vertex AI: A managed platform that simplifies the ML lifecycle, from data preparation to model deployment and monitoring.
- Natural Language API: An intuitive tool to deal with natural language, supporting sentiment analysis, entity recognition, and syntax analysis.
Getting Started
To start using it today you just need a Google Cloud account. If you are a new user, you will get 300$ credit as a free trial during the first 90 days.
Once your account is created, you can access these tools via the Google Cloud Console.
TensorFlow
TensorFlow is an open-source framework to create from scratch and train ML models. It is compatible with multiple programming languages such as Python and Java.
TensorFlow’s main features include:
- Comprehensive Ecosystem: TensorFlow offers tools to support the whole ML project lifecycle: model building, training, and deployment.including
- Community: It is a widely used tool with extensive documentation and an active community.
- Cross-Platform: With TensorFlow Lite, models can be deployed on a variety of devices, from smartphones to IoT devices.
Getting Started
Install TensorFlow using pip:
Then you can explore the wide range of tutorials available on the TensorFlow website.
Experiments with Google
It is a collection of AI projects and experiments. It provides an interactive way to explore what AI can do, with many projects available for direct interaction. It uses hardware components and software tools from Google.
Main features include:
- Educational Tools: Most of the projects are crafted to teach basic AI and ML concepts interactively and funnily.
- Interactive Demos: You can interact with AI models and see how they respond to different inputs.
Getting Started
Visit Experiments with Google to explore the available projects. Many of these experiments include code and instructions for those interested in the technical details.
AI Hub
Google AI Hub is a platform where you can share and deploy ML models and pipelines. Its main goal is to foster a collaborative synergy between users and enterprises to leverage pre-build models and solutions.
Its main features are:
- Pre-trained Models: Access a library of models pre-trained by Google and other users.
- Collaboration: Share your models and solutions with the community, and discover other users’ models.
- Integration with Google Cloud: Seamlessly integrate with other Google Cloud services for deployment and monitoring.
Getting Started
AI Hub is part of Google Cloud, so you’ll need a Google Cloud account to access it.
Browse the AI Hub for models and solutions that fit your needs.
Wrapping Up
Google offers a wide variety of tools to start your journey into AI and machine learning. By exploring and taking advantage of them, you can optimize your workflow, enhance your daily tasks, and stay ahead in this fast-paced field!
Josep Ferrer is an analytics engineer from Barcelona. He graduated in physics engineering and is currently working in the data science field applied to human mobility. He is a part-time content creator focused on data science and technology. Josep writes on all things AI, covering the application of the ongoing explosion in the field.