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artificial intelligence has become one of the fastest growing fields in recent years. These new technologies will change the world forever and present us with an important choice:
Embrace ai to optimize our workflow or ignore it completely.
If you're reading this, I'm pretty sure you fall into the first camp: you want to leverage ai to improve your daily tasks.
However, there is a major problem. Large companies strive to distinguish themselves by flooding the market with a wide range of applications. This makes it difficult to know all the options that exist 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 to OpenAI's GPT models, available for everyone to use for free!
<img decoding="async" alt="Exploring Google's Latest ai Tools: A Beginner's Guide” width=”100%” src=”https://technicalterrence.com/wp-content/uploads/2024/05/1716926984_627_Exploring-Google39s-Latest-AI-Tools-A-Beginner39s-Guide.png”/><img decoding="async" src="https://technicalterrence.com/wp-content/uploads/2024/05/1716926984_627_Exploring-Google39s-Latest-AI-Tools-A-Beginner39s-Guide.png" alt="Exploring Google's Latest ai Tools: A Beginner's Guide” width=”100%”/>
Screenshot of Gemini main interface
It integrates Google's extensive research in ai to provide more accurate and context-aware responses, making it highly effective for applications such as chatbots, virtual assistants, and other language-based ai solutions. Some of the key features that make Gemini one of the best LLMs on the market are:
- Free to use: no payment required.
- Multimodal capabilities: can handle images and documents.
- User-friendly interface: Easy to use.
Starting
To start using Google Gemini, you just need to have a Google account. You can go to the main interface of Gemini and start chatting with him today.
Google cloud
Set of cloud computing services that run on Google infrastructure. It offers multiple services including computing, storage, analytics and machine learning. It can be used to create, train and deploy ai models and solutions.
Its main ai services include:
- AutoML – Designed with out-of-the-box APIs for users with basic ML knowledge. Among its main tools are AutoML Vision or AutoML Natural Language among others.
- Vertex ai – A managed platform that simplifies the machine learning lifecycle, from data preparation to model deployment and monitoring.
- Natural Language API: An intuitive tool for handling natural language, supporting sentiment analysis, entity recognition, and syntax analysis.
Starting
To start using it today you only need a Google Cloud account. If you are a new user, you will get a $300 credit as a free trial for the first 90 days.
Once your account is created, you can access these tools through the Google Cloud Console.
TensorFlow
TensorFlow is an open source framework for building and training ML models from scratch. It supports multiple programming languages such as Python and Java.
TensorFlow's main features include:
- End-to-end ecosystem: TensorFlow offers tools to support the entire ML project lifecycle: model building, training, and deployment.
- 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.
Starting
Install TensorFlow using pip:
You can then 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. Uses hardware components and software tools from Google.
Key features include:
- Educational tools: Most projects are designed to teach basic ai and ML concepts in an interactive and fun way.
- Interactive demos: You can interact with ai models and see how they respond to different inputs.
Starting
Visit Google Experiments to explore available projects. Many of these experiments include code and instructions for those interested in the technical details.
ai Center
Google ai Hub is a platform where you can share and deploy machine learning models and pipelines. Its main objective is to foster a collaborative synergy between users and companies to take advantage of pre-designed 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.
- Google Cloud Integration – Seamlessly integrate with other Google Cloud services for deployment and monitoring.
Starting
ai Hub is part of Google Cloud, so you'll need a Google Cloud account to access it.
Explore ai Hub for models and solutions that fit your needs.
Ending
Google offers a wide variety of tools to start your ai and machine learning journey. By exploring and taking advantage of them, you can optimize your workflow, improve your daily tasks, and stay ahead in this fast-paced field.
Joseph Ferrer He is an analytical engineer from Barcelona. He graduated in physical engineering and currently works in the field of data science applied to human mobility. He is a part-time content creator focused on data science and technology. Josep writes about all things ai, covering the application of the ongoing explosion in this field.