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Merge pull request #21 from VapiAI/rajdeep/gemini
docs: Add gemini in providers section
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fern/docs.yml

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instances:
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- url: https://vapi.docs.buildwithfern.com
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custom-domain: docs.vapi.ai
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edit-this-page:
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github:
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edit-this-page:
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github:
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owner: VapiAI
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repo: docs
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branch: main
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announcement:
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announcement:
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message: "🚀 Vapi now provides server SDKs! Check out the [supported languages](/server-sdks)."
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title: Vapi
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height: 28
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colors:
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accentPrimary:
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dark: '#94ffd2'
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light: '#37aa9d'
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dark: "#94ffd2"
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light: "#37aa9d"
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background:
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dark: '#121418'
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light: '#FFFFFF'
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dark: "#121418"
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light: "#FFFFFF"
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header-background:
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dark: '#121418'
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light: '#FFFFFF'
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dark: "#121418"
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light: "#FFFFFF"
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experimental:
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mdx-components:
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- snippets
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landing-page:
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landing-page:
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page: Welcome
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path: welcome.mdx
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css: assets/styles.css
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rightIcon: fa-solid fa-chevron-right
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href: https://dashboard.vapi.ai/
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rounded: true
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footer-links:
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footer-links:
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github: https://github.com/vapiai
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twitter: https://twitter.com/vapi_ai
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discord: https://discord.gg/pUFNcf2WmH
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display-name: Documentation
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icon: book
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slug: documentation
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layout:
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layout:
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tabs-placement: header
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searchbar-placement: header
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header-height: 80px
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contents:
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- page: OpenAI
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path: providers/model/openai.mdx
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- page: Gemini
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path: providers/model/gemini.mdx
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- page: Groq
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path: providers/model/groq.mdx
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- page: DeepInfra
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flattened: true
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skip-slug: true
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paginated: true
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snippets:
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snippets:
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typescript: "@vapi/server-sdk"
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python: vapi_server_sdk
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go: https://github.com/VapiAI/server-sdk-go
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- api: Webhooks
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api-name: webhooks
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paginated: true
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- section: ''
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paginated: true
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- section: ""
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contents:
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- link: Swagger
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href: https://api.vapi.ai/api
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- link: OpenAPI
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href: https://api.vapi.ai/api-json
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redirects:
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redirects:
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- source: /api-reference/assistants/create-assistant
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destination: /api-reference/assistants/create
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- source: /api-reference/assistants/get-assistant

fern/providers/model/gemini.mdx

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---
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title: Gemini by Google
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subtitle: What is Gemini?
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slug: providers/model/gemini
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---
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**What is Gemini?**
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Gemini is Google's latest artificial intelligence (AI) initiative, developed by Google DeepMind, designed to enhance user experiences across various platforms by integrating advanced AI capabilities into everyday applications. It represents a significant advancement in AI technology, offering multimodal understanding and reasoning across text, images, audio, video, and code.
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**The Evolution of AI Research:**
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Over the years, AI research has progressed from simple rule-based systems to complex deep learning models capable of understanding and generating human-like content. Google has been at the forefront of this evolution, with Gemini marking a new era in AI development. Built from the ground up for multimodality, Gemini can seamlessly process and integrate various types of information, setting new benchmarks in AI performance and capability.
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**Overview of Gemini’s Offerings:**
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Gemini offers a range of AI-driven products and services designed to meet diverse user needs:
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**Gemini Chat:**
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- A conversational AI assistant that helps users with writing, planning, learning, and more. It enhances creativity and productivity by providing intelligent suggestions and assistance.
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**Gemini Advanced:**
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- A subscription-based service providing access to Google's most capable AI models, such as Gemini 1.5 Pro and Imagen 3. It offers a 1 million token context window, enabling the processing of extensive documents and complex tasks. Users can create custom AI experts, edit Python code, and receive priority access to new features.
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**Gemini API:**
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- A developer-focused platform that allows integration of Gemini's AI capabilities into applications. It supports multimodal inputs, including text, images, audio, and video, enabling developers to build innovative AI-powered solutions.
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**Gemini 1.5 Technology:**
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Gemini 1.5 is Google's latest foundation model, delivering enhanced performance and a breakthrough in long-context understanding across modalities. It utilizes a new Mixture-of-Experts architecture, allowing it to process up to 1 million tokens, enabling new capabilities and applications.
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**Use Cases for Gemini:**
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Gemini's technologies are versatile and applicable across various sectors:
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**Education:**
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- Gemini can assist in generating educational content, providing personalized tutoring, and aiding in research by analyzing large volumes of academic material.
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**Business:**
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- Businesses can leverage Gemini for automating customer support, generating marketing content, and analyzing data to gain insights, thereby enhancing operational efficiency.
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**Creative Industries:**
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- In the creative sector, Gemini enables artists and writers to generate new ideas, create unique visuals, and produce high-quality content, expanding creative possibilities.
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**Innovation and Research:**
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Google is committed to advancing AI through continuous research and innovation. Their team of researchers and engineers works on developing new models, improving existing technologies, and exploring novel applications of AI. This commitment to innovation ensures that Google remains at the cutting edge of the field.
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**AI Safety and Ethics:**
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Ensuring the safe and ethical use of AI is a core principle at Google. They implement rigorous safety measures to prevent misuse and ensure that their technologies are used responsibly. Google is also involved in global discussions about AI ethics and governance, contributing to the development of best practices and standards for the industry.
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**Integrations and Compatibility:**
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Gemini's API allows seamless integration with various platforms and applications, ensuring that users can incorporate Gemini's AI capabilities into their existing systems, enhancing functionality and improving user experience. The API is designed to be flexible and user-friendly, accommodating a wide range of use cases.
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In summary, Gemini represents a significant advancement in AI technology, offering versatile and powerful tools that enhance creativity, productivity, and efficiency across various domains.

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