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Langchain JS - Practical Guide For Javascript Developers - OneDDL - 11-22-2024 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 Homepage [To see links please register or login] rapidgator Recommend Download Link Hight Speed | Please Say Thanks Keep Topic Live [To see links please register or login] No Password - Links are Interchangeable