LOGiN PANeL

«    May 2025    »
MoTuWeThFrSaSu
 1234
567891011
12131415161718
19202122232425
262728293031 
PoLL





eBooks Tutorials Templates Plugins Scripts Applications GFX Collections SCRiPTMAFiA.ORG
Support SCRiPTMAFiA.ORG
Support SCRiPTMAFiA.ORG
LaST oN NULLeD.org
The Blair Witch Documentary (2024) 1080p BluRay x265-DH The Blair Witch Documentary 2024 1080p BluRay x265-DH Documentary about the 1999 film. Featured on the special ...
Autodesk Revit 2026.1 Build 26.1.0.35 by m0nkrus (MULTi/RUS) Free Download Autodesk Revit 2026.1 Build 26.1.0.35 by m0nkrus (MULTi/RUS) Autodesk Revit 2026 is a program for ...
Windows 11 AIO 16in1 24H2 Build 26100.4061 (No TPM Required) With Office 2024 Pro Plus Multilingual Preactivated May 2025 Free Download Windows 11 AIO 16in1 24H2 Build 26100.4061 (No TPM Required) With Office 2024 Pro Plus Multilingual ...
ZerotoMastery – Ultimate AWS Bedrock Guide Build and Scale Generative AI Apps Free Download ZerotoMastery – Ultimate AWS Bedrock Guide Build and Scale Generative AI Apps Last updated: 4/2025 MP4 | ...
ZerotoMastery – Build a Simple Neural Network & Learn Backpropagation Free Download ZerotoMastery – Build a Simple Neural Network & Learn Backpropagation Released 4/2025 MP4 | Video: ...
ZerotoMastery – Build AI Agents with CrewAI Free Download ZerotoMastery – Build AI Agents with CrewAI Released 4/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, ...

RSS
RSS

FRiENDS
Nulled.org Software 8TM URL Shortener RoboForex Forex market




LLMs with LangChain – Beginner friendly

Category: Tutorials


LLMs with LangChain – Beginner friendly
Free Download LLMs with LangChain – Beginner friendly
Published 6/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 13m | Size: 522 MB
Understand Prompts, Chains and Agents. Build your first LLM App.


What you'll learn
Build an LLM based App from scratch using Streamlit.
Learn how Agents work. Understand the 3 components of Agents and code an Agent in LangChain
Learn how Chains work. Understand and build Simple and Sequential Chains.
Learn what are Prompts and how to use its structure
Understand how LangChain works. What are the components that make this library so effective
Requirements
There is no pre-requisite. I assume no knowledge of Langchain or Large Language Models
Description
This beginner-friendly course will help you start using LangChain to develop LLM applications with NO prior experience! We will understand the concepts by coding up examples. I see LangChain becoming what Pandas is to Data Science. It will be the core library that Data Scientists and Machine Learning professionals will use to build applications using Large Language Models. The goal of this course is to provide an understanding of how to navigate LangChain. There is no expectation of understanding of Natural Language Processing or Large Language Models. We will leverage the power of LangChain to build our use cases. Step-by-Step we will build up the key components of LangChain. Prompts, Chains, and then Agents. We will build our understanding with easy-to-follow code. Topics covered are 1. Prompts - We will see what is a Prompt and how can we build Prompt templates to automate prompt inputs2. Chains - This is the Chain part of LangChain. We will see how Prompts roll up to Chains and explore Simple and Sequential Chains3. Agents - The most important and powerful feature of LangChain. We will see the 3 components that make up Agents- Tools, LLMs, and Agent type. We will explore Tools - Wikipedia, SerpAPI, LLMmath - to see how to best extract the power of Agents. 4. Build an LLM App. Use your knowledge to solve a real-world problem.
Who this course is for
Beginner A.I. enthusiasts who want to understand how Large Language Models can be used by using Langchain
Serve LLM based app using Streamlit
Homepage
https://www.udemy.com/course/llms-with-langchain-beginner-friendly/





DOWNLOAD LINK


No Password - Links are Interchangeable


   
   
   




We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm




Related news:

 

Information

 
  Users of GUESTS are not allowed to comment this publication.