Intro to Semantic Kernel RC3 - How to use handlebar templates

Подписаться 1,3 тыс.

50% 1

Semantic Kernel is at RC3. Lots of changes needs you to upgrade your code from beta to RC. In this video you will learn how to interact with LLM using Semantic Kernel RC3 syntax.
Thanks to Semantic Kernel you can interact with an LLM like ChatGPT with few line of C# code. Thanks to new Handlebar Templates for RC3 of Version 1, you can simply create a Chat Like interaction with few lines of C# Code.
As usual the code is in GitHub and it is updated to work with RC3.
github.com/alkampfergit/Seman...
▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬
00:00 - Introduction to Semantic Kernel and Kernel Objects
00:33 - Importing Plugins and Managing API Keys
01:46 - Basic Interaction with Kernel and Large Language Models
03:43 - Securely Handling API Keys simulating phyton-dotenv
05:43 - Advanced Chat Interaction with Semantic Kernel Templates
09:55 - Conclusion and Summary of Semantic Kernel Capabilities

Наука

Опубликовано:

29 июл 2024

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист

Посмотреть позже

Комментарии : 6

@sowmyaam7168 5 месяцев назад

It's really a great content. Please provide complete end to end implementation on Python as well.

@codewrecks 5 месяцев назад

Actually python version of Semantic Kernel seems to be stopped with development, I'm waiting for version 1 but it seems to be stuck in beta phase :(

@sowmyaam7168 5 месяцев назад

@@codewrecks Thank you

@sowmyaam7168 5 месяцев назад

@codewrecks I need one clarification: I am a ML Engineer, our application is in dotnet. I got a task to implement Semantic Kernel, which language you suggest me to use C# or Python?. But I know only Python. Please give me some inputs.

@codewrecks 5 месяцев назад

If you looked at my first video on the series on semantic kernel you can see that SK has also a python version. Sadly it seems not to be actively developed anymore In second video I demostrate how you can call a function in python directly from C# using CreatePRocess (so you can write your ML code in python then execute from C#) In a real production scenario I would have the ML expert write everything in python (there are more ML resources in Python) then pack all the code in a python program that expose functionalities through api, like Flask, then call the api with C# code. Hope this explanation is of help to you

@sowmyaam7168 5 месяцев назад

@@codewrecksYes it's clear.. Thanks for your valuable input 😊