Udemy LangChain Develop LLM Powered applications with LangChain

[0dayddl]

​

Download Free Download : Udemy LangChain Develop LLM powered applications with LangChain
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:3.17 GB
​

Files Included :

Spoiler

001 Introduction.mp4 (42.09 MB)
MP4
002 Course Structure + How to get the best of Udemy [PLEASE DO NOT SKIP].mp4 (36.12 MB)
MP4
003 What is LangChain.mp4 (10.97 MB)
MP4
004 Course's Discord Server.mp4 (28.79 MB)
MP4
001 Project Setup (Pycharm) recommend).mp4 (44.46 MB)
MP4
002 Project Setup (vscode) - optional.mp4 (56.74 MB)
MP4
003 Environment Variables and env File.mp4 (13.85 MB)
MP4
004 Your First LangChain application - Chaining a simple prompt.mp4 (107.37 MB)
MP4
005 Quick Check In.mp4 (6.93 MB)
MP4
001 Ice Breaker- What are we building here.mp4 (17.13 MB)
MP4
002 Integrating Linkedin Data Processing - Part 1 - Scraping.mp4 (49.91 MB)
MP4
003 Linkedin Data Processing - Part 2 - Agents Theory.mp4 (9.64 MB)
MP4
004 Linkedin Data Processing- Part 3 Tools, AgentType & initialize agent.mp4 (37.06 MB)
MP4
005 Linkedin Data Processing- Part 4 Custom Agent Implementation & Testing.mp4 (173.65 MB)
MP4
006 [Optional] Twitter Data Processing- Part 1- Scraping.mp4 (57.32 MB)
MP4
007 [Optional] Twitter Data Processing- Part 2- Agents (Optional).mp4 (63.52 MB)
MP4
008 Output Parsers- Getting Ready to work with a Frontend.mp4 (43.7 MB)
MP4
009 FullsStack App- Building our LLM powered by LangChain FullStack Application.mp4 (35.78 MB)
MP4
001 What are we building ReAct AgentExecutor from scratch.mp4 (30.83 MB)
MP4
002 Environment Setup + ReAct Algorithm overview.mp4 (66.44 MB)
MP4
002 react-langchain-final-0.zip (31.32 KB)
ZIP
003 Defining Tools for our ReAct agent.mp4 (92.04 MB)
MP4
003 react-langchain-1.zip (31.74 KB)
ZIP
004 ReAct prompt, LLM Reasoning Engine, Output Parsing and Tool Execution.mp4 (131.52 MB)
MP4
004 react-langchain-2.zip (31.96 KB)
ZIP
005 AgentAction, AgentFinish, ReAct Loop.mp4 (72.5 MB)
MP4
006 CallbackHandlers, ReAct Prompt and finalizing the ReAct Agent loop.mp4 (81.69 MB)
MP4
006 react-langchain-final.zip (32.42 KB)
ZIP
001 Theoretical Introduction to embeddings, Vectorstores & RetrievalQA chain (RAG).mp4 (51.78 MB)
MP4
002 LangChain classes review Pinecone, OpenAIEmbeddings, RetrievalQA, TextLoader.mp4 (45.65 MB)
MP4
003 Medium Analyzer- Boilerplate Project Setup.mp4 (25.09 MB)
MP4
004 Medium Analyzer- Implementation.mp4 (71.28 MB)
MP4
005 Chat With Your PDF- FAISS Local Vectorstore.mp4 (40.8 MB)
MP4
001 What are we building.mp4 (47.32 MB)
MP4
002 Building an AI LangChain Chat Assistant- Vectorstore Pincone Ingestion.mp4 (156.26 MB)
MP4
003 Building an AI LangChain Chat Assistant- RetrievalQA chain (prompt augmentation).mp4 (88.35 MB)
MP4
004 Building an AI LangChain Chat Assistant- Frontend with Streamlit (UI).mp4 (41.83 MB)
MP4
005 Building an AI LangChain Chat Assistant- Memory & ConversationalRetrievalChain.mp4 (84.1 MB)
MP4
001 What are we building (A slim Version of GPT Code-Interpreter).mp4 (66.08 MB)
MP4
002 Project Setup.mp4 (8.13 MB)
MP4
003 Python Agent.mp4 (31.28 MB)
MP4
004 CSV Agent.mp4 (53.25 MB)
MP4
005 Wrapping Everything Router Agent + OpenAI functions.mp4 (74.83 MB)
MP4
001 LangChain Token Limitation Handeling Strategies.mp4 (99.31 MB)
MP4
002 LangChain Memory Deepdive.mp4 (159.69 MB)
MP4
001 The GIST of LLMs.mp4 (16.37 MB)
MP4
002 What is a Prompt Composition of a formal prompt.mp4 (6.2 MB)
MP4
003 Zero Shot Prompting.mp4 (11.64 MB)
MP4
004 Few Shot Prompting.mp4 (42.73 MB)
MP4
005 Chain of Thought Prompting.mp4 (61.12 MB)
MP4
006 ReAct.mp4 (57.15 MB)
MP4
007 Prompt Engineering Quick Tips.mp4 (57.13 MB)
MP4
001 Have a technical issue WATCH THIS FIRST I Promise this will help!.mp4 (25.28 MB)
MP4
002 Tweet API- tweepy errors Forbidden 403 Forbidden.mp4 (18.74 MB)
MP4
003 Pinecone AttributeError init is no longer a top-level attribute of pinecone.mp4 (10.49 MB)
MP4
001 LLM Applications in Production.mp4 (145.63 MB)
MP4
002 LLM Application Development landscape.mp4 (69.93 MB)
MP4
003 Finished course Whats next!.mp4 (107.97 MB)
MP4
001 LangChain Hub - Downloads prompt from the community.mp4 (43.79 MB)
MP4
002 TextSplitting Playground.mp4 (62.09 MB)
MP4
003 LangChain VS LlamaIndex.mp4 (54.52 MB)
MP4

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

 

[0dayddl]

Langchain- Develop Llm Powered Applications With Langchain
Last updated 6/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 2.87 GB | Duration: 5h 16m​

Learn LangChain by building FAST a real world generative ai LLM powered application LLM (Python)

What you'll learn
Become proficient in LangChain
Have an end to end working LangChain based generative AI application
Prompt Engineering Theory: Chain of Thought, ReAct, Few Shot prompting and understand how LangChain is build under the hood
Understand how to navigate inside the LangChain opensource codebase
Large Language Models theory for software engineers
LangChain: Lots of chains Chains, Agents,, DocumentLoader, TextSplitter, OutputParser, Memory
Vectorestores/ Vector Databasrs (Pinecone, FAISS)

Requirements
This is not a beginner course. Basic software engineering concepts are needed
I assume students will be familiar software engineering subjects such as: git, python, pipenv, environment variables, classes, testing and debugging
No Machine Learning experience is needed.

Description
Welcome to first LangChain Udemy course - Unleashing the Power of LLM!This comprehensive course is designed to teach you how to QUICKLY harness the power the LangChain library for LLM applications. This course will equip you with the skills and knowledge necessary to develop cutting-edge LLM solutions for a diverse range of topics.Please note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.In this course, you will embark on a journey from scratch to building a real-world LLM powered application using LangChain. The application you will build is designed to scrape the internet for information about a name you provide and generate a couple of personalized ice breakers to kick off a conversation with the person.The topics covered in this course include:LangChainHistoryLLMs: Few shots prompting, Chain of Thought, ReAct promptingChat ModelsPrompts, PromptTemplatesOutput ParsersChains: SequentialChain, LLMChain, RetrievalQA chainAgents, Custom AgentsTools, ToolkitsMemoryVectorstores (Pinecone, FAISS)DocumentLoaders, TextSplittersStreamlit (for UI)Throughout the course, you will work on hands-on exercises and real-world projects to reinforce your understanding of the concepts and techniques covered. By the end of the course, you will be proficient in using LangChain to create powerful, efficient, and versatile LLM applications for a wide array of usages.This is not just a course, it's also a community. Along with lifetime access to the course, you'll getedicated 1 on 1 troubleshooting support with meGithub links with additional AI resources, FAQ, troubleshooting guidesAccess to an exclusive Discord community to connect with other learners (1000+ members)No extra cost for continuous updates and improvements to the coursePlease note that this is not a course for beginners. This course assumes that you have a background in software engineering and are proficient in Python. I will be using Pycharm IDE but you can use any editor you'd like since we only use basic feature of the IDE like debugging and running scripts.

Who this course is for:
Software Engineers that want to learn how to build Generative AI based applications with LangChain,Backend Developers that want to learn how to build Generative AI based applications with LangChain,Fullstack engineers that want to learn how to build Generative AI based applications with LangChain

For More Courses Visit & Bookmark Your Preferred Language Blog
From Here: - - - - - - - -

AusFile

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

RapidGator

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

TurboBit

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!

Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!