Introduction to Semantic Kernel - Define skills and call Sequentially in Python

In this introductory video we will see how to create skills in Semantic Kernel, both in python and in plain Prompt semantic skill. In this video we learn how to use ffmpeg, OpenAI Whisper and a final call to GPT4 to extract audio from a video and generate a summarized timeline.

Timeline of this video was generated with the very same technique.

Example code can be found here: https://github.com/alkampfergit/SemanticKernelPlayground

▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬

00:00 - Introduction to Semantic Kernel and LangChain Series
01:23 - Writing a Python Plugin for Semantic Kernel
03:02 - Basic Plugin Parameters and Usage
06:15 - Orchestrating Skills with Semantic Kernel
07:02 - Setting Up API Keys and Environment
08:04 - Importing and Verifying Plugins in Semantic Kernel
10:18 - Creating a Chain of Skills with Semantic Kernel
14:57 - Conclusion and Overview of Semantic Kernel Capabilities

Тэги:

#GPT #SemanticKernel #AI

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