synthesis Device support Employee assistance Market research Conversational commerce and personalized recommendations Generative AI powers a multitude of use cases
and value creation Improve time-to-value to search, navigate, and extract insights and understanding from large amounts of complex data Complex data, intuitively accessible Improve customer experience, reaching larger client bases by making online interactions more natural, conversational, and rewarding Online interactions made conversational Generate text, code, image, video, or music quickly and multi-modally, speeding up every business processes and maximizing employee productivity Content generation at the click of a button Customize large models and incorporate state of the art generative capabilities natively into your own internal ML operational platforms Customize Foundation models Analyst Customer Service Creative AI Practitioner
Gen AI w/ Google Gemini (Bard) Foundational Models AI Studio / Gemini API Google Cloud Foundation Models Model Garden Search Conversation as a consumer as a developer for prototyping enterprise level privacy, security, scalability https://gemini.google.com/ https://aistudio.google.com/
basics on how to use the Python SDK for the Gemini API. We will explore these tasks: • Set up your development environment and API access to use Gemini • Generate text responses from text inputs • Generate text responses from multimodal inputs (text and images) • Use Gemini for multi-turn conversations (chat) • Explore advanced use cases