GenAI Superstream Developing Innovative Apps with Generative AI

Free Download GenAI Superstream Developing Innovative Apps with Generative AI
Published 7/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 11m | Size: 674 MB
The emergence of generative AI has led to a host of new possibilities in developing applications that take full advantage of its potential. From content creation to personalization to recommendation and even customer service and support, the field of app development now has new heights in sight for amazing capabilities.

Don’t just hand-wave at large language models (LLMs) or generative AI in your investor pitch by integrating ChatGPT into an arbitrary app function. This type of superficial integration is unlikely to meaningfully engage users or drive value. Instead, learn some of the key practical ways you can incorporate generative AI to build and deploy features that truly engage and influence your app’s users.
What you’ll learn and how you can apply it
Apply generative AI to the right tasks in your app and avoid using it frivolously
Learn about the latest tools and techniques that have been developed to implement generative AI
Explore real-world use cases for apps recently developed to incorporate the latest in generative AI
This live course is for you because.
You’re an ML engineer who’s currently building or leveraging generative AI technologies.
You’re a developer or software engineer who’s excited to incorporate AI in your latest application.
You’re a business or organizational leader who’s exploring the potential of generative AI.
Recommended follow-up
Read Prompt Engineering for Generative AI (early release book)
Read Generative AI on AWS (book)
Read Hands-on Large Language Models (early release book)
Read Designing Large Language Model Applications (early release book)
Watch Generative AI for Developers (on-demand course)
Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event.

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