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on
1
- Introduction
2
- Life app
3
- What is GenAI?
4
- User challenges
5
- Getting started tips
6
- Gemini models
7
- Chatbot user experience
8
- System instructions
9
- Memory and context window
10
- Model cost and capabilities
11
- How to summarize?
12
- Experimenting with multimodal
13
- User feedback
14
- Production and model versioning
15
- What’s next?
16
- Json Generation
17
- Function calling
18
- Unlocking delightful experiences
19
- Multi language support
20
- Conclusion
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the integration of the Gemini API in Android applications through this informative podcast episode of Android Build Time. Learn from Jomin George, CEO of Hitbytes Technologies, and Google Developer Relations Engineers as they discuss how the journal app Life implemented an AI diary assistant using Gemini. Discover insights on leveraging system instructions to customize chatbot personas, enhancing user engagement, and implementing advanced features like multimodal capabilities and function calling. Gain practical tips on getting started with Generative AI, managing model costs, handling context windows, and addressing production challenges. Delve into topics such as JSON generation, multilingual support, and creating delightful user experiences with AI integration. Whether you're a seasoned Android developer or just starting with AI implementation, this episode provides valuable knowledge to elevate your app development skills.

Integrating the Gemini API in Android - Android Build Time

Android Developers
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