Udemy - LangChain Unleashed - A Guide To Using Open Source LLM Models

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size251 MB
  • Uploaded Byfreecoursewb
  • Downloads31
  • Last checkedFeb. 04th '24
  • Date uploadedFeb. 03rd '24
  • Seeders 7
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LangChain Unleashed: A Guide To Using Open Source LLM Models

https://DevCourseWeb.com

Published 1/2024
Created by Apocalypse Labs
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 21 Lectures ( 32m ) | Size: 251 MB

Learn how to build LLM powered Applications using Langchain, Hugging Face Open Source Models

What you'll learn:
Learn the basics of langchain
Use Langchain to build LLM powered Applications
Connect Langchain with Open Source LLM Models
Build A chatbot using Langchain

Requirements:
Python Basics
Kaggle/Google Colab

Files:

[ DevCourseWeb.com ] Udemy - LangChain Unleashed - A Guide To Using Open Source LLM Models
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1. Introduction
    • 1. Introduction.mp4 (1.7 MB)
    • 2. What is LangChain.mp4 (5.7 MB)
    • 3. Prerequisites - Setup For Windows.html (0.5 KB)
    • 4. How To Generate Text Using An LLM.mp4 (1.8 MB)
    • 5. Generating Text Using An LLM.mp4 (26.5 MB)
    • 6. Code - Generating Text Using An LLM.html (0.6 KB)
    2. Prompts And Chains
    • 1. Prompts.mp4 (9.6 MB)
    • 2. Chains.mp4 (9.0 MB)
    • 3. Langchain Expression Language.mp4 (9.8 MB)
    • 4. One Shot Prompting To Get Better Output.mp4 (13.3 MB)
    3. Memory
    • 1. Creating Chatbot.mp4 (27.8 MB)
    • 2. Adding Memory To Chatbot.mp4 (31.4 MB)
    4. Retrieval Augmented Generation(RAG)
    • 1. What is Retrieval Augmented Generation(RAG).mp4 (19.4 MB)
    • 2. Generating Embeddings And Storing in ChromaDB.mp4 (13.3 MB)
    • 3. Initializing Our Database.mp4 (22.6 MB)
    • 3.1 sample.txt (2.3 KB)
    • 4. Retrieval Augmented Generation - Code.mp4 (30.1 MB)
      • 5. Notes - Retrieval Augmented Generation.html 5. Agents And Tools 1. What is an Agent.html
      • 2. Loading Mistral 7b Instruct Model In Kaggle.mp4 (28.8 MB)
        • 3. XML Agent.html
      • 4. ReAct Agent.html (0.0 KB)
        • Bonus Resources.txt (0.4 KB)

Code:

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