In a significant step forward in the intersection of artificial intelligence (AI) and programming languages, Microsoft has rolled out the release candidate (RC) version of its open-source Semantic Kernel .NET SDK. This innovative kit empowers developers to blend complex language models with established programming languages including C#, Python, and Java.
On December 5, Microsoft made the notable announcement and by December 7, the Semantic Kernel had progressed to the third RC level. Heading close to the final 1.0.0.0 structure, this presents an advanced version of Microsoft's previously released product. Aligning with industry standards, numerous processes have been simplified within the interface. This includes convenient renaming of numerous interfaces and classes for greater congruity within the sector.
Additionally, Microsoft has shifted the previously complex, multi-step process of automated function calling with OpenAI to a completely automated mechanism. By doing so, the goal was to make the SDK conducive to both new and existing users. Using existing .NET implementations, the custom classes have been upgraded, thus improving the usability of the platform.
Further enhancing its value and ease of use, the kernel now takes on the role of a 'property bag' for the entire AI application. This means that all elements of the application - incorporating multiple AI programs, services, plugins, as well as essentials such as HTTP handlers and logging services - can be added to the kernel. This sophisticated system allows all Semantic Kernel elements to use these application components for performing AI requests.
This innovative kernel development allows for dependency injection into Semantic Kernel to create the kernel where developers use a single YAML file as a blueprint for all the essentials for a prompt function - previously referred to as semantic functions.
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