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What does it do?

  • Multimodal Processing
  • Content Generation
  • Text Summarization
  • Image Classification
  • Video Analysis
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How is it used?

  • Use web-based Google AI Studio for prompt design and export.
  • 1. Access w/ API & SDK
  • 2. Customize w/ PET
  • 3. Deploy thru Vertex AI
  • 4. Ensure safety w/ tools
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Who is it good for?

  • Data Scientists
  • Business Analysts
  • Software Engineers
  • AI Developers
  • Machine Learning Researchers

What does it cost?

  • Pricing model : Unknown

Details & Features

  • Made By

    Google
  • Released On

    2010-08-27

Google's Gemini Pro is a powerful generative AI model that supports a wide range of applications, from text and code processing to image and video analysis. The model is available through Google AI Studio and Vertex AI, providing developers and enterprises with tools to build and deploy AI-driven solutions.

Key features:
- Multimodal processing: Handles text, code, images, and video inputs
- Advanced reasoning capabilities for generating high-quality, contextually relevant outputs
- Function calling, embeddings, semantic retrieval, and custom knowledge grounding
- Chat functionality for building conversational agents with dynamic interactions, supporting multiple languages across 180+ countries
- Parameter Efficient Tuning (PET) for customizing the model with user data without traditional fine-tuning complexity
- Prompt design and tuning tools in Google AI Studio for fine-tuning model behavior
- API and SDK support for Python, Kotlin, Node.js, Swift, and JavaScript
- Integration with Vertex AI for a fully managed AI platform with additional features like data governance, privacy controls, and enterprise security
- Responsible AI tooling, including safety filters and content moderation APIs
- Built-in data governance and privacy controls to ensure customer data is not used to train Google's models

How it works:
Google AI Studio is a web-based tool for prototyping and experimenting with generative models. Users can create various types of prompts and export their work to code in their preferred programming language.

Vertex AI is a fully managed AI development platform that unifies the machine learning workflow from training to deployment. It supports the customization and scaling of Gemini models, offering tools for tuning, evaluation, and deployment.

Integrations:
- Google AI Studio for rapid prototyping and prompt development
- Vertex AI for full-scale deployment and management of AI models, including integration with Google Cloud services like BigQuery and Tensorboard
- SDKs available for Python, Kotlin, Node.js, Swift, and JavaScript

Use of AI:
Gemini Pro is built on Google's advanced large language models (LLMs), including the Gemini 1.5 Pro and Gemini 1.5 Flash variants. These models offer extensive context windows and are optimized for high-quality, low-latency performance across diverse tasks.

AI foundation model:
Gemini Pro is built on Google's proprietary large language models, Gemini 1.5 Pro and Gemini 1.5 Flash.

How to access:
Gemini Pro was launched on December 6, 2023. Currently, developers can access Gemini Pro for free with certain usage limits (60 requests per minute). After general availability, pricing will be competitive and based on usage, with charges per 1,000 characters or per image. Gemini Pro is not open source; it is a proprietary model developed and maintained by Google.

  • Supported ecosystems
    Google, Google, Android, iOS, Apple, Google, Alphabet Inc., Google DeepMind, Google AI Studio, Google Cloud Vertex AI, Google Chrome, Google Search, Google Ads, Google Pixel, Google Bard, Google Duet AI, iOS, Android, Apple
  • What does it do?
    Multimodal Processing, Content Generation, Text Summarization, Image Classification, Video Analysis, Code Generation, Code Debugging, Conversational Agents, Customer Service, Data Analysis
  • Who is it good for?
    Data Scientists, Business Analysts, Software Engineers, AI Developers, Machine Learning Researchers

PRICING

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Pricing model: Unknown

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