LangChain Agents: A Simple, Fast-Paced Guide скачать в хорошем качестве

LangChain Agents: A Simple, Fast-Paced Guide

Introduction to agents in LangChain Join the Community: https://whop.com/ai-accel/ Make AI Avatar (UGC): https://hyper-ugc.com 🔗 Links Source code: https://github.com/edrickdch/langchai... LangChain: https://python.langchain.com/docs/mod... ReAct Paper: https://arxiv.org/abs/2210.03629 MRKL Paper: https://www.ai21.com/blog/jurassic-x-... Self-ask with search Paper: https://python.langchain.com/docs/mod... BabyAGI: https://github.com/yoheinakajima/babyagi Generative Agents Paper: https://arxiv.org/abs/2304.03442 Plan-and-solver Paper: https://github.com/AGI-Edgerunners/Pl... ⏳ Timestamps 00:00 Intro 00:04 What can LLMs do? 00:19 Agents dependencies 00:23 What can an agent do? 00:33 Table of content 01:00 Action Agents / Thought-Action-Observation Loop Explained 1:08 Thought Step Explained 1:20 Agent's Prompt / What's inside? 1:34 Agent's Output Parse / It's importance 1:50 Thought Step Explained (continued) 2:00 The Role of the AgentExecutor 2:18 Observation / Tool output 2:30 Agent Loop Stopping Condition 2:37 Agent Code Example (NYC Real Estate Mortgage Deposit) 3:02 Agent Types 3:12 ReAct DocStore Agent 3:21 Self-ask with Search Agent 3:46 Comparison between (Zero Shot | Conversational | Chat Zero Shot | Chat Conversational | Chat Conversational | Structured Chat Zero Shot) - React Description Agent 3:52 Agent Type for Chat Models 4:00 Agent Type for Chat History 4:05 Agent Type for Multi-Argument Tools 4:11 Other Agent Frameworks (Plan-and-execute, Autonomous, Generative) 4:19 Plan-and-Execute Agent (Why?) 4:37 Action Agent Control Flow 4:46 Plan-and-Execute Control Flow 4:54 The Planner 5:02 The Executor 5:04 PROs/CONs Plan-and-execute 5:24 Sales Report Agent Code Example (Gmail, SQLite DB) 6:00 Results: Sales Report Agent Code Example (Gmail, SQLite DB) 6:10 Plan-and-Execute Inspiration 6:20 Autonomous Agent 6:23 BabyAGI Introduction 6:30 BabyAGI Explained Graphically 7:05 Consensus on BabyAGI (Useful or nah?) 7:17 Generative Agent 7:30 Tools & Toolkits (Command to find available tools + toolkits) 7:37 Toolkit Example Overview: GmailToolkit 7:44 Creating a Custom Tool 7:53 Using Pydantic w/ Custom Tool 7:57 Decorator Custom Tool 8:00 Structured Custom Tool (Multi-arguments) 8:05 Prompts & Output Parsers 8:15 Check out LangChain's Prompts Source Code 8:23 OpenAI Function Calls (Postponed) 8:33 Thank you 💌 Link to the newsletter https://practical-ai-builder.beehiiv....