Gemini 멀티미디어 라이브러리
Gemini 멀티미디어 라이브러리
실용적인 활용법부터 혁신적인 사용 사례까지, 엄선된 리소스 라이브러리에서 Gemini로 스타트업 성장에 속도를 더하는 방법을 직접 확인해 보세요.
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Google AI Studio에서 Gemini API 키 가져오기
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How to Build AI Agents: The Modern Tech Stack (ADK & Vertex AI)
How to Build AI Agents: The Modern Tech Stack (ADK & Vertex AI)
Google Cloud's Ahsif Sheikh provides a technical deep dive into the modern tech stack for building AI agents, breaking down essential Google and open-source components like the Agent Development Kit (ADK) and Vertex AI.
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Step-by-Step AI Agent Tutorial: Build, Test, and Deploy with ADK
Step-by-Step AI Agent Tutorial: Build, Test, and Deploy with ADK
In this hands-on tutorial, Google Cloud's Ivan Nardini guides you step-by-step through the entire process of building, testing, and deploying a functional AI agent using the Agent Development Kit (ADK) and Google Cloud.
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What is the Model Context Protocol (MCP)? An Expert Explanation
What is the Model Context Protocol (MCP)? An Expert Explanation
In this expert explanation, Anthropic's Elie Schoppik breaks down the Model Context Protocol (MCP) and details how this open standard works to make AI agents more effective, trustworthy, and secure.
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Live Demo: Connecting an ADK Agent with MCP & the Reddit APIDescription
Live Demo: Connecting an ADK Agent with MCP & the Reddit APIDescription
In this live demo, Google Cloud's Ivan Nardini demonstrates how to integrate an agent built with the Agent Development Kit (ADK) with the Model Context Protocol (MCP) to connect it to a real-world tool using the Reddit API.
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A Developer’s Guide to Nano Banana & Veo: Google for Startups
A Developer’s Guide to Nano Banana & Veo: Google for Startups
In this in-depth tutorial, Google AI Specialist Akanksha Bhusari guides developers through a complete AI video generation workflow, covering advanced prompt engineering for Veo and using Google's generative media models like Nano Banana and Imagen in Vertex AI.
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A Marketer’s Guide to Nano Banana & Veo: Google for Startups
A Marketer’s Guide to Nano Banana & Veo: Google for Startups
Google Cloud's Jess Jinkins provides a practical guide for marketers on how to use generative AI models like Gemini, Imagen, and Veo within AI Studio to easily brainstorm, create, and animate content.
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Fine tuning Gemini with Google AI Studio
Fine tuning Gemini with Google AI Studio
Unlock the power of customized AI with Gemini and Google AI Studio. Join Googler Paige Bailey in this tutorial as she explains fine-tuning, practical steps for implementation, and valuable best practices to create custom AI solutions tailored to your needs.
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Google AI Studio: Advanced features
Google AI Studio: Advanced features
Unlock the full potential of Google AI Studio with this guide to its advanced features. Join Googler Paige Bailey as she explores capabilities like “Code Execution" and "JSON mode" to refine model behavior, customize output, and integrate with your applications.
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How to use the Gemini APIs: Advanced techniques
How to use the Gemini APIs: Advanced techniques
Dive into the world of advanced Gemini API techniques for developers. Join Googler Paige Bailey as she explores the power of long context, context caching, and code execution to build more powerful and innovative AI applications.
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Function calling with the Gemini API
Function calling with the Gemini API
Unlock the power of function calling with the Gemini API. This feature allows you to connect your language models with external systems and APIs, making your applications more dynamic. Watch along and learn how to define functions, make calls, and leverage multi-turn conversations for interactive experiences.
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Build full-stack AI apps in minutes with Firebase Studio
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From AI Studio to Building an app in flutter
From AI Studio to Building an app in flutter
Discover how to use Flutter to rapidly build and validate applications, accelerating the journey from idea to production. Prototype a generative AI solution, then build an app that leverages Vertex AI in Firebase.
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Vibe coding with Firebase studio
Vibe coding with Firebase studio
Firebase Studio, formerly Project IDX, is a cloud-based environment for building, testing, and deploying production-quality applications. Discover how to use Firebase Studio's App Prototyper to quickly build AI applications. Follow along as we build an app to estimate food macros and customize the app with Gemini.
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Startup use case: Ilmiya scales personalized learning to thousands of students with Gemini models
Ilmiya, an AI-powered education platform, leverages Gemini models to automate course content generation and personalize study guidance. This integration accelerated development cycles by 70% and boosted student retention and engagement by 25%.
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Startup use case: Korean startup Smoretalk builds smarter AI visual assistants for marketers
Smoretalk’s AI assistants, built with Gemini models, help marketers create on-brand visuals from reference images. The team’s integration of the Imagen API increased monthly usage of a key feature in their flagship tool by 10X. Additionally, using the Gemini 2.5 Flash Image model in their specialized ad-creation tool has helped them secure enterprise clients.
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Startup use case: Eon transforms cloud backups to AI-ready data lakes
Startup use case: Eon transforms cloud backups to AI-ready data lakes
Eon is a cloud-native, autonomous backup platform that unifies cloud backup posture management with a backup-optimized storage tier built on Google Cloud. It transforms cloud backups into instantly usable data lakes for AI, analytics, and recovery—eliminating silos and reducing operational and storage costs.
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Startup use case: How Improving Aviation uses Gemini and Google Cloud to predict and combat wildfires
Startup use case: How Improving Aviation uses Gemini and Google Cloud to predict and combat wildfires
Startup use case: How Improving Aviation uses Gemini and Google Cloud to predict and combat wildfires
Wildfires are a growing threat, but what if we could predict them with near real-time accuracy? In this video, we explore how Improving Aviation is doing just that, using the power of Gemini and Google Cloud's machine learning capabilities. Learn how to build impactful solutions with Google Cloud.
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Startup use case: Hudson AI is transforming how global content is consumed using AI-powered translations
Hudson AI is redefining content with multimodal AI that delivers natural, synchronized translations. Based in South Korea, they accelerated their growth via Google for Startups Accelerator: AI First, the Seoul City & Google Job Festival, and our 10th Anniversary AI Festival.
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Startup use case: Huna uses AI to bring accessible early cancer detection to all
Huna, a Brazilian deeptech startup, is revolutionizing early cancer detection by transforming routine blood tests into intelligent screening tools. Leveraging Google's Vertex AI and Gemini models, Huna's technology identifies subtle cancer patterns, enabling earlier diagnoses and significantly reducing treatment costs.
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Startup use case: Wanted Lab leads the way in AI-powered talent acquisition in South Korea
Wanted Lab is transforming talent acquisition through its AI-powered platform. This innovative solution incentivizes candidate referrals and optimizes the hiring process for companies. Their success, including a notable IPO and international expansion into Japan, has been supported by Google for Startups.
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Startup use case: Kimba is revolutionizing sleep with AI & scent therapy
For the millions worldwide who struggle with quality sleep, healthtech startup Kimba may be a dream come true. The company is transforming the nightly routine into a personalized journey toward well-being using a unique blend of Google AI and scent therapy.
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Startup use case: How Vetnet Social built their career transformation platform with generative AI
Transitioning from the battlefield to the business world is a challenge many veterans face. Recognizing this gap, Pradeep Muthuswamy, a retired major from the Indian Army, founded Vetnet Social, a mission-driven startup that’s leveraging AI to empower veterans in their career transitions.
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Startup use case: Spline - Sculpting the Future of Interactive 3D with the Gemini API
Spline is now integrating Gemini 2.5 Pro Preview capabilities with its new canvas editor, Hana, to empower users to effortlessly generate entire interactive 3D and 2D experiences directly from textual descriptions, fostering a new era of collaborative creation.
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Startup use case: Cartwheel - Animation with Gemini API & Imagen 3
Cartwheel stands at the forefront of next-generation animation, and integrates Imagen 3 for intuitive text-to-character design, and harnesses Gemini 2.5 Pro Preview to develop sophisticated animation-specific algorithms
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Startup use case: Tzafon selects Google Cloud to build next-generation agentic machine intelligence
Tzafon, a San Francisco-based startup and AI R&D lab, is partnering with Google Cloud to utilize Google’s AI-optimized infrastructure and cloud services to help Tzafon deliver automation at large scale.
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Startup use case: Augment Code accelerates AI coding with Google Cloud and NVIDIA
Startup use case: Augment Code accelerates AI coding with Google Cloud and NVIDIA
Augment Code is a developer AI platform that deeply understands your codebase and helps teams write better code faster. Augment partnered with Google Cloud and NVIDIA to ensure they have stability, security and high availability for their users.
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Startup use case: Barkyn Health: Making every dog's life longer and healthier with Google Cloud's AI
Barkyn, a pet care startup, transformed from a dog food company into a holistic pet health service with Google Cloud. Using Vertex AI and Gemini, they built an AI-powered Assistant that gives personalized insights to help pet owners proactively manage their dog's health.
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Startup use case: Temporal moves fast so engineers can build better
Startup use case: Temporal moves fast so engineers can build better
Temporal's core mission is to provide a new way of creating complex applications more quickly and operating them more reliably, ensuring that critical infrastructure can fail without disrupting business processes. By leveraging Google Cloud, Temporal runs its core business intelligence systems and customer delivery systems, allowing its engineers to focus on improving customer offerings while benefiting from Google's secure-by-design architecture and advanced AI suite.
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Startup use case: Harvey - Gemini 2.5 Pro Preview’s Advanced Legal Reasoning
Harvey, a dynamic startup dedicated to transforming legal workflows through AI, confronted this by developing BigLaw Bench, their comprehensive framework for assessing Large Language Model (LLM) performance on tasks mirroring actual legal work.
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스타트업 사용 사례: Viggle - Gemini 2.0 Flash 기반 동영상 제작 도구
Viggle은 사진을 전신 움직임이 있는 매력적인 애니메이션으로 변환해 주는 바이럴 AI 동영상 제작 도구 스타트업으로, 밈과 댄스 콘텐츠 제작에 사용하기에 좋습니다. Gemini 2.0 Flash 및 Imagen 3과 같은 고급 AI 모델을 사용하여 얼굴 바꾸기, 댄스 동작으로 사진에 애니메이션 효과 주기, 영화 장면에 사용자 삽입하기, 새로운 기능(예: '이미지를 가상 동영상 캐릭터로 변환' 및 '동적 AI 내레이션') 프로토타입 제작과 같은 다양한 기능을 제공합니다.
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Startup use case: How Telmai is building a new way to help companies build trust in their data
Startup use case: How Telmai is building a new way to help companies build trust in their data
Telmai is a data observability company that leverages AI to enable enterprise data teams to monitor and automate data quality across the entire data pipeline, from source to consumption.
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Startup use case: Resistant AI is building a new way to stay ahead of bad actors with AI/ML
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Startup use case: Resistant AI is building a new way to stay ahead of bad actors with AI/ML
Startup use case: Resistant AI is building a new way to stay ahead of bad actors with AI/ML
Resistant AI is building AI-powered solutions to combat fraud in financial services documentation and workflows with the help of Google Cloud. These solutions can expedite background checks, reduce fraud losses, and speed up underwriting and claims processing processes.
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Startup use case: How Arize AI is building a new way to evaluate and observe LLM apps with Google Cloud
Startup use case: How Arize AI is building a new way to evaluate and observe LLM apps with Google Cloud
Startup use case: How Arize AI is building a new way to evaluate and observe LLM apps with Google Cloud
Learn how Arize AI, an AI observability and LLM evaluation platform, partners with Google Cloud to give organizations a whole new way to deploy their gen AI applications successfully using Vertex AI. Arize AI works seamlessly with Google Vertex AI models, offering total visibility into every layer of an LLM-based software system: the application, the prompt, and the response. Teams deploying AI on Google Vertex AI or other Google Cloud ML offerings can easily integrate with Arize.
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Startup use case: Patchstack’s software prevents thousands of WordPress security vulnerabilities
Learn how Patchstack, an alumnus of the Google for Startups Growth Academy: AI for Cybersecurity program, is using Gemini 2.5 Pro to protect users globally from open-source vulnerabilities. From identifying new threats to mitigating attacks in real time, Patchstack offers a comprehensive approach to open-source security.
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Startup use case: Vela Partners - Grounding with Google Search for Deeper, faster insights
Vela Partners, a leading quant venture capital firm, is revolutionizing this process by leveraging the Gemini API, turning the art of investment into a data-driven science with unprecedented speed and precision.
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Startup use case: Mettle is transforming the mental health landscape for men
Built in the UK, Mettle is redefining men's mental fitness with a gamified toolkit of meditation, breathwork, mind hacking, and hypnosis. The app uses Google's Gemini to help break stigma and strengthen the mind.
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Startup use case: Causal helps businesses put finance on autopilot with Google Cloud and AI
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Startup use case: Causal helps businesses put finance on autopilot with Google Cloud and AI
Startup use case: Causal helps businesses put finance on autopilot with Google Cloud and AI
Causal's mission is to simplify financial planning for startups. To achieve this, the finance platform sought assistance in boosting performance and maximizing its time and talent. With Google Cloud, Causal now leverages Cloud SQL, BigQuery, Filestore, and Memorystore for Redis to manage its data and free up its team to focus on building innovative financial models. Additionally, Causal used Gemini to build a generative AI-powered setup wizard that helps users connect their data, analyze patterns, and generate financial models in just five minutes.
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Startup use case: Mindgram aims to democratize access to mental health care to improve productivity
Founded during the Covid-19 pandemic, Mindgram is an employee wellbeing platform created to address rising mental health challenges at work. Using Google's Gemini, it offers a holistic 24/7 solution through web and mobile apps, providing psychological support and self-development tools to them thrive.
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Startup use case: Vita Vere - Empowering independence with Gemini Flash
Startup use case: Vita Vere - Empowering independence with Gemini Flash
Vite Vere is a generative AI app that harness the power of cutting-edge multimodal capabilities to help users with cognitive disabilities become more independent. See how Guido, the creator, took personal inspiration and made it come to life with Gemini Flash and Flutter.
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Demis Hassabis: Future of AI, Simulating Reality, Physics and Video Games
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Future of AI: Perspectives for Startups
The ‘Future of AI: Perspectives for Startups’ report features 23 leading voices in AI. Hear their perspectives on the most critical AI and Cloud AI innovations, trends, opportunities, and challenges that startup leaders should consider when building and scaling in 2025.
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Demis Hassabis on shipping momentum, better evals and world models
Demis Hassabis on shipping momentum, better evals and world models
Demis Hassabis, CEO of Google DeepMind, sits down with host Logan Kilpatrick. In this episode, learn about the evolution from game-playing AI to today's thinking models, how projects like Genie 3 are building world models to help AI understand reality and why new testing grounds like Kaggle’s Game Arena are needed to evaluate progress on the path to AGI.
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