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What does it do?

  • Natural Language Processing
  • Multilingual Translation
  • Cross-Modal Reasoning
  • Conversational AI
  • Multimodal AI

How is it used?

  • Access the web app
  • input text or media
  • get responses.
  • 1. Integrate w/ websites & apps
  • 2. Process language & visuals
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Who is it good for?

  • AI Researchers
  • Content Creators
  • Software Developers
  • Language Translators
  • Customer Support Agents

What does it cost?

  • Pricing model : Subscription
  • Free trial : 60 days

Details & Features

  • Made By

    Google
  • Released On

    2010-08-27

Google Gemini is an advanced AI chatbot tool that simulates human conversations using natural language processing and understanding technologies. It can comprehend and generate text, translate languages, create content, and answer questions across multiple data types including text, audio, code, and video.

Key features:
- Natural Language Processing: Understands and processes language, recognizes images, parses complex visuals, and provides natural language responses
- Multilingual Capabilities: Offers broad functionality for translation tasks across different languages
- Cross-Modal Reasoning: Reasons across various input data types, including audio, images, and text, to solve complex problems
- Integration with Google Services: Can be incorporated into websites, messaging platforms, applications, and Google Chrome browser
- Feedback Mechanisms: Includes built-in options for users to rate responses and report issues
- Context Management: Currently has limited ability to hold context during conversations, with ongoing improvements planned

How it works:
1. User inputs a query or provides data in various formats (text, image, audio, video)
2. Gemini processes the input using its multimodal capabilities
3. The system generates a response based on its training and understanding
4. User can provide feedback on the response quality

Integrations:
- Websites
- Messaging platforms
- Applications
- Google Chrome browser

Use of AI:
- Natural language processing and understanding
- Multimodal data processing
- Language translation
- Content generation
- Question answering

AI foundation model:
Large Language Model (LLM) with multimodal capabilities

Target users:
- General public seeking information or assistance
- Developers integrating AI capabilities into applications
- Businesses looking to enhance customer interactions

How to access:
Available as of December 6, 2023 (specific access methods not provided in the input text)

  • Supported ecosystems
    Google, Google, Android, iOS, Apple
  • What does it do?
    Natural Language Processing, Multilingual Translation, Cross-Modal Reasoning, Conversational AI, Multimodal AI
  • Who is it good for?
    AI Researchers, Content Creators, Software Developers, Language Translators, Customer Support Agents

PRICING

Visit site
Pricing model: Subscription
Free trial: 60 days

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