Build Chat Applications with OpenAI and LangChain

سرفصل های دوره

Gain cutting-edge AI skills: Master the LangChain framework to build and deploy real-world AI applications

1 - Introduction to the Course

1 - Introduction to the Course

2 - Business Applications of LangChain

3 - What Makes LangChain Powerful

4 - What Does the Course Cover

2 - Tokens Models and Prices

5 - Tokens.html

6 - Models and Prices.html

3 - Setting Up the Environment

7 - Setting Up a Custom Anaconda Environment for Jupyter Integration

8 - Obtaining an OpenAI API Key

9 - Setting the API Key as an Environment Variable.html

Files.zip

4 - The OpenAI API

10 - First Steps.html

11 - System User and Assistant Roles.html

12 - Creating a Sarcastic Chatbot.html

13 - Temperature Max Tokens and Streaming.html

Files.zip

5 - Model Inputs

14 - The LangChain Framework.html

15 - ChatOpenAI

16 - System and Human Messages

17 - AI Messages

18 - Prompt Templates and Prompt Values

19 - Chat Prompt Templates and Chat Prompt Values

20 - FewShot Chat Message Prompt Templates

21 - LLMChain

Files.zip

6 - Message History and Chatbot Memory

22 - Chat Message History

23 - Conversation Buffer Memory Implementing the Setup

24 - Conversation Buffer Memory Configuring the Chain

25 - Conversation Buffer Window Memory

26 - Conversation Summary Memory

27 - Combined Memory

Files.zip

7 - Output Parsers

28 - String Output Parser

29 - CommaSeparated List Output Parser

30 - Datetime Output Parser

Files.zip

8 - LangChain Expression Language LCEL

31 - Piping a Prompt Model and an Output Parser

32 - Batching

33 - Streaming

34 - The Runnable and RunnableSequence Classes

35 - Piping Chains and the RunnablePassthrough Class

36 - Graphing Runnables

37 - RunnableParallel

38 - Piping a RunnableParallel with Other Runnables

39 - RunnableLambda

40 - The chain Decorator

41 - Adding Memory to a Chain Part 1 Implementing the Setup

42 - RunnablePassthrough with Additional Keys

43 - Itemgetter

44 - Adding Memory to a Chain Part 2 Creating the Chain

Files.zip

9 - Retrieval Augmented Generation RAG

45 - How to Integrate Custom Data into an LLM

46 - Introduction to RAG

47 - Introduction to Document Loading and Splitting

48 - Introduction to Document Embedding

49 - Introduction to Document Storing Retrieval and Generation

50 - Indexing Document Loading with PyPDFLoader

50 - Introduction-to-Data-and-Data-Science.pdf

51 - Indexing Document Loading with Docx2txtLoader

51 - Introduction-to-Data-and-Data-Science.docx

52 - Indexing Document Splitting with Character Text Splitter Theory

53 - Indexing Document Splitting with Character Text Splitter Code Along

54 - Indexing Document Splitting with Markdown Header Text Splitter

54 - Introduction-to-Data-and-Data-Science-2.docx

55 - Indexing Text Embedding with OpenAI

56 - Indexing Creating a Chroma Vector Store

57 - Indexing Inspecting and Managing Documents in a Vector Store

58 - Retrieval Similarity Search

59 - Retrieval Maximal Marginal Relevance Search

60 - Retrieval Vector StoreBacked Retriever

61 - Generation Stuffing Documents

62 - Generation Generating a Response

Files.zip

10 - Tools and Agents

63 - Introduction to Reasoning Chatbots

64 - Tools Toolkits Agents and Agent Executors

65 - Fixing the GuessedAtParserWarning.html

66 - Creating a Wikipedia Tool and Piping It to a Chain

67 - Creating a Retriever and a Custom Tool

68 - LangChain Hub

69 - Creating a Tool Calling Agent and an Agent Executor

70 - AgentAction and AgentFinish

Files.zip

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تولید کننده: Udemy