AI & its practical application in business

#AI #Gemini #Google #OpenAI #GPTSearch #watermarking #artificialintelligence 

In this conversation, Bas Alderding and Koen Ter Velde discuss two major developments in AI: Google's Gemini model updates and AI content watermarking. They explore Google's new grounding feature that allows AI models to verify information through internet searches, and discuss Google's SynthID watermarking technology for AI-generated content.
Key Takeaways:

Google's Gemini models now include a grounding feature that can search and verify information before providing answers
The grounding feature allows developers to control when and how often the model uses internet searches
Google's SynthID technology watermarks AI-generated content with invisible fingerprints
OpenAI has launched GPT Search for pro users, similar to Google's grounding feature
Developers can now choose specific regions for data processing in Google's AI platform

Chapters:
00:01 Introduction and Overview
01:11 Explaining AI Grounding
03:32 Demonstration of Gemini's Grounding Feature
15:45 Discussion of AI Watermarking
27:50 OpenAI's GPT Search Feature
32:20 Preview of Future Topics (Computer Use in AI)

Conclusion and Contact Information Want to get in touch? 
Schedule a 15min intro through cal.sevenlab.nl/team/sevenlab/sevenlab-introduction or visit sevenlab.dev

Creators & Guests

Host
Bas Alderding
Co-Founder of SevenLab
Host
Koen ter Velde
Co-founder of SevenLab

What is AI & its practical application in business?

A set of AI courses and news items from AI development agency SevenLab.dev