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Building Apps with AI Tools: ChatGPT, Semantic Kernel, and Langchain

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New tools powered by artificial intelligence are changing the way we think about apps. And if you’re a developer looking to integrate your workflow, it’s time to supercharge your existing skills. In this course, instructor Denys Linkov offers an overview of how to build apps and integrate exciting, new open-source tools such as ChatGPT, Semantic Kernel, and LangChain.

Learn how to connect to the ChatGPT API to start building hands-on applications with code. Denys shows you the basics of app development with Semantic Kernel, from formatting to chain-of-thought reasoning, prompting, and OpenAI Whisper for text to speech. By the end of this course, you’ll also get a chance to try out your new skills building document search with LangChain and testing ChatGPT apps.


01 - Introduction
  • 01 - Welcome
  • 01 - welcome.mp4.zip
  • 02 - Setting up your environment

  • 02 - 1. Connecting to the ChatGPT API
  • 01 - Introduction to ChatGPT and its parameters
  • 02 - Connecting to the ChatGPT API

  • 03 - 2. A Discount Bot
  • 01 - Sentiment analysis
  • 02 - Providing a discount through a UI
  • 03 - Challenge Turning rude customers away
  • 04 - Solution Turning rude customers away

  • 04 - 3. Building with Semantic Kernel
  • 01 - A simple summarizer with Semantic Kernel
  • 02 - Formatting your data with few-shot learning
  • 03 - Integrating chain-of-thought reasoning into your app
  • 04 - Learning to use Whisper for text to speech
  • 05 - Challenge Creating a thinking out loud librarian
  • 06 - Solution Creating a thinking out loud librarian

  • 05 - 4. Building Document Search with LangChain
  • 01 - Building a simple prompt chain with LangChain
  • 02 - Answering questions with a vector DB
  • 03 - Semantic search and embeddings
  • 04 - Extracting key information from your question
  • 05 - Challenge A librarian with a library
  • 06 - Solution A librarian with a library

  • 06 - 5. Testing ChatGPT Apps
  • 01 - Generating sample data with ChatGPT
  • 02 - Generative AIpowered tests
  • 03 - Evaluating GenAI prompt performance
  • 04 - LLM framework security
  • 05 - Challenge Building a GenAI test suite for your librarian
  • 06 - Solution Building a GenAI test suite for your librarian

  • 07 - Conclusion
  • 01 - Next steps
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    تاریخ انتشار: 8 آبان 1402
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