- Gemini - Home
- Gemini - Overview
- Gemini - Features
- Gemini - Use Cases
- Gemini - Getting Started
- Gemini - Interface Overview
- Gemini - Prompt & Context
- Gemini - How to Ask Questions
- Gemini - Editing Responses
- Gemini - Complex Queries
- Gemini - Integrating External Data
- Gemini - Customizing Responses
- Gemini - Writing Effective Prompts
- Gemini - Sharing Conversations and Projects
- Gemini - Collaborating with Teams in Real-Time
- Gemini - Automating Workflows
- Gemini for Educational Purposes
- Gemini for Research Assistance
- Gemini for Business and Marketing
- Gemini for Creative Writing and Content Generation
- Gemini for Coding and Development
- Gemini Useful Resources
- Gemini - Quick Guide
- Gemini - Useful Resources
- Gemini - Discussion
Gemini (Bard) Tutorial
What is Gemini?
Gemini is Google's generative AI (Artificial Intelligence) chatbot. As opposed to Search, chatbots can write an article, solve mathematical problem, write a recipe/poem, generate images, audio or video. It is the Google's answer to Chat-GPT (from OpenAI). Gemini was known as Bard. Bard and Duet AI were combined to create Gemini. Gemini was introduced in February 2024. Like Chat-GPT, you type in a query (known as prompt) in the text box, and Gemini finds an answer.
A Simple Interaction with Gemini
Let's have a look at a simple interaction with Gemini. Here, we are seeking a step-by-step set of instructions on how to prepare tea −
What are Capabilities of Gemini?
Gemini is a multimodal model, meaning that it can process different kinds of data and combine them to perform complex tasks. Imagine a single AI model that can seamlessly navigate text, code, audio, image, and video. For example −
Text − It can generate and comprehend text.
Images − It understands visual content.
Audio − It processes spoken language and sounds.
Video − It can analyze video data.
Code − Yes, it even handles programming code!
Gemini is the product of various teams in Google, including Google Research. It was built from the ground up to be multimodal, making it a powerful tool for various applications. Gemini is powered by a Large Language Model (LLM). A large language model (LLM) is a computational model capable of language generation and other natural language processing tasks. They handle tasks like content generation, summarization, translation, and even code generation.
Enhanced Coding Abilities − Gemini excels at coding tasks, demonstrating proficiency in various programming languages and frameworks. It can generate code, debug existing code, and even explain complex algorithms.
Creative Content Generation − From writing stories and poems to composing scripts and musical pieces, Gemini can produce creative content that is often indistinguishable from human-generated work.
Language Translation and Understanding − Gemini's language translation capabilities are highly accurate, enabling it to translate text between different languages with minimal errors. It can also understand nuances and context in language, making its translations more natural and meaningful.
What Steps are needed to start with Gemini?
We need to sign-up and agree to Gemini Terms and Conditions once and then we can start using it.
Web Browser
Go to http://gemini.google.com. You'll see following screen.
Sign-in to your Google account
Is Gemini Free to Use?
Gemini is free to use but Gemini Advanced is having a subsription plan of ₹1,950 after a free-month period. Click on 'Try Gemini Advanced' link on the top right corner of the home page, and you will land in. Gemini Advanced comes with latest AI innovations from Google and uses their next generation model 1.5 Pro.
Latest from Gemini
Inbuilt support in Chrome browser
In Chrome browser, type @gemini in address bar and type your question.
Gemini on Mobile
Android Users can download Gemini AI app from Play store.
iPhone/iPad/iOS Users have to use Gemini from Google web site, by switching from Search to Gemini.
Ethical Issues
As with any powerful AI technology, the development and deployment of Gemini AI raise important ethical considerations. Some of the key ethical issues include −
Bias − Gemini AI is trained on large datasets, and if these datasets contain biases, the AI system may learn and replicate those biases. This can lead to discriminatory outcomes in areas such as hiring, lending, and criminal justice.
Privacy − Gemini AI can collect vast amount of personal data, which may be a privacy concern.
Audience
This Gemini tutorial can benefit a diverse audience, including −
General Users − Those looking to explore and utilize Gemini for various purposes, such as content creation, brainstorming, job seeking, or casual conversation.
Developers − Individuals interested in integrating Gemini into applications or websites, understanding the basics of API usage, and exploring potential use cases.
Businesses − Companies seeking to leverage Gemini for customer support, content generation, SEO, marketing, or other applications within their operations.
Students/Researchers − Those in academic settings interested in experimenting with language models and natural language processing.
Prerequisites
To use and understand Gemini, the reader should have −
Basic Computer Skills − The reader should be familiar with using a computer and a web browser.
Internet Connection − To interact with Gemini on the Google platform, you should have access to the internet.
Interest in Natural Language Processing (NLP) − Although it is not mandatory but having a curiosity about how language models work, and their applications will enhance the readers understanding.
Python Programming Knowledge (Optional) − If you plan to explore the API or more advanced use cases, some understanding with python programming would be helpful.
We have designed this Gemini tutorial to be accessible to a broad audience, including those without any extensive technical background.