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A collection of 3 posts

Semantic Kernel for .NET: a quick look

Semantic Kernel

Semantic Kernel for .NET: a quick look

With Semantic Kernel, we are able to orchestrate or rig up an object that handles calls to popular API services for interacting with Large language models and Small Language Models from OpenAI, Microsoft, Mistral* and Google* (*marked for future releases according to Microsoft at Build 2024). Semantic Kernel with GPT4o

Azure AI Speech voice control with OpenAI GPT4 and SSML

AI Services on Azure Featured

Azure AI Speech voice control with OpenAI GPT4 and SSML

SSML or Speech Synthesis Markup Language allows us to control the spoken behaviour of a synthesised voice in our application. Within Azure AI Speech, we get the ability to use SSML with the available synthetic and neural voices available from Microsoft and also the neural voices from OpenAI too(with

Azure AI Speech to Text vs OpenAI Whisper

AI Services on Azure Featured

Azure AI Speech to Text vs OpenAI Whisper

Azure AI Speech and OpenAI's Whisper model are services that are capable of speech to text transcription not only in the cloud but at the edge too. We do not always entirely need to rely on the use of API keys that authenticate into a cloud-supported inference service