Langchain JS - Practical Guide For Javascript Developers

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Free Download Langchain JS - Practical Guide For Javascript Developers
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.08 GB | Duration: 4h 33m
Getting Started with LangChain for Javascript

What you'll learn
How to Design powerful prompts to query A.I models
How to ntegrate with powerful models like Gemini models from Google and GPT models from OpenAI
Build conversational chat interactions with A.I models
Use A.I to process images
Load data from local files or specific web pages
Generate results based on information from the web and PDF files
Requirements
Basic Programming Skills
Basic Understanding of Javascript
Basic Understanding of Nodejs
Description
The sole purpose of this course is to get your feet wet and your hands building with LangChainJSLangChainJS gives Web and JavaScript Developers to ability to add A.I-powered features to their web applications using best-in-class Large Language Models from OpenAI, Google, Anthropic and many more LLM vendors out there.This is the perfect course to get yourself into A.I Engineering and A.I development with LangChain, the biggest A.I software development toolchain in the market today.By the end of this course, you will have the skills toesign powerful prompts to query A.I modelsIntegrate with powerful models like Gemini 1.5 Flash from Google Generative AI and GPT 4o by OpenAIBuild conversational chat interactions with A.I modelsUse A.I to process imagesControl the creativity of the model and how much tokens it consumesTrack token consumptionLoad data from local files or specific web pagesGenerate results based on information from the webGenerate results based on information from your PDF filesSo, if anything in the above list sounds fun, let's get started.Also, feel free to inbox me about any new chapter you will like me to work on. I'll appreciate your suggestions
Overview
Section 1: Introduction
Lecture 1 Welcome
Section 2: Concepts and Components
Lecture 2 The LangChainJS Architecture
Lecture 3 LangChainJS Components
Lecture 4 LangChainJS Runnables
Lecture 5 Using the Documentation and API Reference
Section 3: "Hello World" in LangChainJS
Lecture 6 Getting Your API Key
Lecture 7 Setting up Your LangChainJS Project
Lecture 8 Your first Prompt Template
Lecture 9 Building Your First Chain
Section 4: Prompt Engineering with Prompt Templates
Lecture 10 Prompt Templates and How they Work
Lecture 11 Creating a Basic Prompt
Lecture 12 Creating Prompts for Chat Models
Lecture 13 Passing Examples to Prompts
Lecture 14 Using Images in Prompts: Multimodal Prompting
Lecture 15 Composing Prompts with PipelinePromptTemplate
Section 5: Working with Models
Lecture 16 Models in LangChainJS
Lecture 17 Setting Up Models
Lecture 18 Controlling Model Response
Lecture 19 Streaming Model Response
Lecture 20 Monitoring Token Consumption
Section 6: Structuring Your Model Output
Lecture 21 Output Parsers in LangChainJS
Lecture 22 Parsing String Outputs
Lecture 23 Parsing JSON Outputs
Section 7: RAG - Feeding Your Data to A.I Models
Lecture 24 Understanding Retrieval Augmented Generation [RAG]
Lecture 25 RAG Project Setup
Lecture 26 Loading Data from a Web Page
Lecture 27 Embedding and Storing
Lecture 28 Retrieving Context for Prompts
Lecture 29 Generating Responses from our own data
Lecture 30 Using PDF files for RAG
Web Developers who want to add AI-powered features to their applications,Developers who want to transition into A.I Engineering,Developers who want to improve the performance of model-powered features with private data
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