The world of AI development is moving at an incredible pace, and Google's Gemini API is continuously evolving to provide developers with more powerful, flexible, and efficient tools.
AI in business
This tutorial concludes by showing how to build specialized AI assistants, or "Gems," using prompt engineering with a general-purpose model like Gemini. Gems are custom AI models excelling at specific tasks, exhibiting domain expertise, specialized behavior, and consistent persona. This is achieved through a detailed system prompt, acting as the AI's "DNA," defining its persona, goals, constraints, and formatting. The prompt includes the AI's role (e.g., financial analyst), its function, limitations (e.g., avoiding giving investment advice), and desired response structure. A "Financial Analyst Gem" example demonstrates how a well-crafted system prompt transforms a general chatbot into a specialized, focused assistant. Mastering prompt engineering unlocks the Gemini API's flexibility, allowing creation of diverse AI assistants.
Integrating with Google Workspace: A Guide on Using Gemini to Enhance Productivity in Applications like Gmail, Docs, and Sheets.