Third-party cyber evaluations involving OpenAI models
openai.com·14h ago
Cloud & Infrastructure
Google Cloud Blog·28d ago·5 min read
20 questions for the Agentic Enterprise (and how Agent Platform can help)
TL;DR
IT leaders face challenges in building and deploying AI agents due to complex engineering realities. The Gemini Enterprise Agent Platform simplifies this process by providing a unified framework for development and governance.
✦ Why It Matters
Evaluate your team's capabilities today to determine who will build your AI applications and choose the right tools accordingly.
Key Takeaways
- Utilize the Agent Development Kit for custom agent creation.
- Implement Model Context Protocol for effective data integration.
- Leverage Agent Runtime for scalable deployment of agents.
- Focus on specialized agents to improve accuracy and reduce complexity.
How It Works
Gemini Enterprise Agent Platform integrates various tools and frameworks to support different engineering roles. It allows no-code users to build agents visually, while providing low-code and high-code options for developers.
The platform's architecture ensures that agents can communicate across different frameworks using the Agent2Agent protocol, facilitating interoperability and data sharing.