AI Applications Made Easy: Dive into LangChain & GPT

سرفصل های دوره

Unlocking the Power of LLMs with LangChain

1. Introduction to LangChain

1. LangChain Demo

2. Introduction

3. What is Langchain

4. Why use LangChain

5. Real Life Examples

6. Components of LangChain

7. Installation and setup

2. Models

1. Introduction

2. Large Language Models

3.1 working with large language models.zip

3. Working with Large Language models

4. Chat Models

5.1 working with chat models.zip

5. Working with Chat Models

3. Prompts

1. Prompt Templates

2.1 working with prompt template.zip

2. Working with Prompt Templates

3. Example Selectors

4.1 working with example selectors.zip

4. Working with Example Selectors

5. Few Shot Prompt Templates

6.1 working with few-shot prompt templates with example set.zip

6. Working with Few Shot Prompt Templates - using Example Sets

7.1 working with few-shot prompt templates using example selectors.zip

7. Working with Few Shot Prompt Templates - using Example Selectors

8. Output Parsers

9.1 implementing pydanticoutputparser.zip

9. Working with Output Parsers

4. Chains

1. Introduction

2. LLM Chains

3.1 working with llmchain.zip

3. Working with LLM Chains

4. Sequential Chain

5.1 simple sequential chain.zip

5. Working with Sequential Chain

5. Memory

1. Introduction

2. How does memory work in LangChain

3.1 working with memory.zip

3. Working with Memory

4.1 memory with chains.zip

4. How to use Memory in Chain

6. Index

1. Introduction

2. Document Loaders

3.1 working with document loaders.zip

3. Working with Document Loaders

4. Text Splitters

5.1 working with text splitters.zip

5. Working with Text Splitters

6. Embedding

7. Vector Stores

8.1 working with vectorstore.zip

8. Working with Vector Stores

7. Agents

1. Introduction

2.1 working with agents.zip

2. Working with Agents

8. Streamlit

1. Introduction

2. Working with Streamlit

9. Project 1 Question Answering Over Documents

1. Introduction

2.1 question answering over documents - jupyter.zip

2. Code Walkthrough - Jupyter

10. Project 2 Interactive chatbot with Streamlit and OpenAI

1. Chatbot Demonstration

2. Code Walkthrough

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تولید کننده: Udemy