Google Gemini Flash 2.0: The Most Cost-Effective AI Model for Production Apps?
Dan Vega
@danvegaAbout
Dan Vega is a Java Champion, Spring Developer Advocate at Broadcom and lifelong learner. He has been developing software for the web for over 23 years and his superpower is problem-solving. Dan is a blogger, YouTuber, podcast host, course creator, and speaker. He is a lifelong learner and his passion is sharing his knowledge with the developer community. Dan lives near Cleveland Ohio with his beautiful wife and 2 daughters. When he isnβt writing code or teaching he enjoys spending time with his family, lifting weights, running, or reading a good book.
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Video Description
Discover why Google Gemini Flash 2.0 is revolutionizing AI development with its unbeatable combination of speed, quality, and cost-effectiveness. In this comprehensive tutorial, we'll explore the entire Gemini 2.0 family and build a practical Spring Boot application. π Learn how to navigate Google's AI ecosystem and choose the right tool for your needs, from AI Studio to Vertex AI. Perfect for developers looking to integrate enterprise-grade AI into their applications without breaking the bank. In This Tutorial: 00:00 - Introduction 02:15 - Gemini 2.0 Model Family Overview 04:30 - Pricing Breakdown 07:45 - Google AI Tools Explained 12:30 - Spring Boot Implementation 18:45 - Final Thoughts π Key Takeaways: β’ Understanding the complete Google AI toolkit β’ Pricing comparison with other LLMs β’ Step-by-step Spring Boot integration β’ Best practices for production deployment π» Code & Resources: β’ GitHub Repo: https://github.com/danvega/hello-gemini β’ Twitter Announcement: https://x.com/Google/thread/1887170927751729385 β’ Spring AI Documentation: https://docs.spring.io/spring-ai/reference/api/chat/vertexai-gemini-chat.html β’ Spring Initializr: https://start.spring.io/ β’ Google's AI Tools: https://www.bytesizedai.dev/p/googles-ai-tools ππ»Connect with me: Website: https://www.danvega.dev Twitter: https://twitter.com/therealdanvega Github: https://github.com/danvega LinkedIn: https://www.linkedin.com/in/danvega Newsletter: https://www.danvega.dev/newsletter SUBSCRIBE TO MY CHANNEL: http://bit.ly/2re4GH0 β€οΈ
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