English | MP4 | AVC 1280×720 | AAC 48KHz 2ch | 2h 18m | 422 MB
Ever since the launch of ChatGPT and the release of new modeling languages by OpenAI in 2022, there has been a growing interest within the wider tech community to explore the potential of multiple applications of generative AI in software and web development. In this course, join instructor Sandy Ludosky to get up to speed quickly with the latest tools and technologies, with hands-on training and exercise challenges along the way.
Learn how to use generative AI to create next-generation Python applications including your own chatbot application. Sandy shows you how to start experimenting with other generative models such as DALL-E and the Whisper Audio API as well as how to extend LLM capabilities with function calling and build a custom-knowledge chatbot using LangChain, embeddings, and ChromaDB.
Table of Contents
Introduction
1 AI integration with Python
Introducing Generative AI What You Need to Know
2 Generative AI The future of development
3 Generative AI Genesis and evolution
4 What you should know
5 What tools you need
Generative AI The Key Concepts and Getting Started
6 Getting started with OpenAI Create an account
7 Getting started with OpenAI The key concepts
8 Start a new project Quickstart
9 Configure the project Set up an API key
10 Defining prompts and making requests
ChatGPT API Build a Chatbot Application
11 Introduction to conversational AI
12 Project setup and overview
13 Authentication and configuration
14 Define a system message with instructions
15 Making requests and generating chat completions
16 Challenge Create a funny chatbot
17 Solution Create a funny chatbot – part 1
18 Solution Create a funny chatbot – part 2
Experimenting with Other Generative Models
19 Introducing the Moderation API
20 Add a moderation layer
21 Text to image Introducing the DALL·E model
22 Generate creative art with DALL·E
23 Create an image gallery with DALL·E
24 Whisper Audio API Speech-to-text
25 Whisper Audio API Transcribe audio samples
26 Whisper Audio API Translate audio sample
Extending the LLM Capabilities with Function Calling
27 Introduction to OpenAI function calling
28 Define functions and parameters
29 Call functions
30 Challenge Connect to a public API
31 Solution Call functions and generate extended responses
Building a Custom-Knowledge Chatbot with LangChain, Embeddings, and ChromaDB
32 Getting started with LangChain
33 LangChain key concepts
34 Chain components (LCEL)
35 Load and split documents
36 Create a vector store and embeddings (Chroma)
37 Run chains Knowledge retrieval and content generation
38 Create a user interface with Streamlit
Conclusion
39 Last words and next steps
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