Semantic Kernel: Unifying AI Across Local and Cloud

Summary:
Semantic Kernel is a powerful framework that simplifies the integration and management of various AI models, both locally hosted and cloud-based. By providing a unified codebase, Semantic Kernel allows developers to seamlessly switch between different providers like Ollama, phi3.5, llama3.2, Azure, OpenAI, Google Gemini, and Groq simply by changing the service name. This flexibility empowers developers to experiment with different models and choose the best option for their specific needs.
Additionally, Semantic Kernel leverages function calling and memory capabilities with all supported models, enabling developers to create more complex and sophisticated AI applications. With Semantic Kernel, developers can focus on building innovative solutions without worrying about the underlying complexities of integrating and managing diverse AI models.
Who this is for:
This presentation is for developers and data scientists interested in leveraging AI models in their applications. Attendees will learn how to use Semantic Kernel to simplify the integration and management of various AI models, both locally hosted and cloud-based.
Pedro Hernandez
Software engineer, passionate about data and information, immersed in a total transformation with artificial intelligence.