Prompt Engineering with LangChain

سرفصل های دوره

This course provides a comprehensive yet concise introduction to LangChain, a powerful framework for large language model (LLM) applications. Starting with the basics of LLMs, instructor Harpreet Sahota explores the key features and capabilities of LangChain, showing you how to integrate it with various systems and gain hands-on experience in building practical applications. Whether you're a seasoned developer or a beginner, this course will equip you with a solid foundation in LangChain, setting the stage for more advanced topics and applications.

01 - Introduction

01 - Create powerful LLM driven applications

02 - 1. Introduction to Language Models

01 - What are language models

03 - 2. LLMs and Text Generation

01 - How do language models generate text

02 - Base LLMs vs. instruction-tuned LLMs

03 - Training, fine-tuning, and in-context learning

04 - Prompt engineering

04 - 3. Components of LangChain

01 - What is LangChain

02 - LangChain overview

03 - Model IO Interface with language models

04 - Retrieval Interface with application-specific data

05 - Chains Construct sequences of calls

06 - Agents Let chains choose tools based on high-level directives

07 - Memory Persist application state between runs of a chain

05 - 4. Basics of Prompting

01 - Prompt basics

02 - Principles and tactics for prompting

06 - 5. Prompt Templates Deep Dive

01 - Introduction to prompt templates

02 - Multi-input prompt templates

03 - Chat prompt template

04 - Serializing prompts

05 - Zero-shot prompts

06 - Custom prompt templates

07 - Prompt pipelining

08 - Chat prompt pipelining

09 - Prompt composition

10 - Few-shot prompt templates

11 - Few-shot prompt templates for chat

12 - Introduction to example selectors

13 - Length-based example selector

14 - Max marginal relevance example selector

15 - N-gram overlap example selector

16 - Semantic similarity example selector

17 - Partial prompt templates

07 - 6. Prompting Techniques

01 - Chain of thought

02 - Self-consistency

03 - Self-ask

04 - ReAct

05 - RAG

06 - FLARE

07 - Plan and execute

08 - 7. Prompt Management a.k.a. PromptOps

01 - Prompt management

02 - LangSmith

03 - LangSmith walkthrough

04 - Prompt versioning in LangSmith

05 - LangSmith deep dive

06 - Managing prompt length for agents

09 - 8. The LLM Landscape

01 - Applications of language models

02 - The LLM landscape

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تولید کننده: LinkedIn Learning (Lynda)