Updated Langchain Version V1 Crash Course- Build Autonomous Agents

Krish Naik · Beginner ·📰 AI News & Updates ·5mo ago
LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves LangChain is the easiest way to start building agents and applications powered by LLMs. With under 10 lines of code, you can connect to OpenAI, Anthropic, Google, and more. LangChain provides a pre-built agent architecture and model integrations to help you get started quickly and seamlessly incorporate LLMs into your agents and applications. github: https://github.com/krishnaik06/Langchain-V1-Crash-Course TimeStamp: 00:00:00 Introduction 00:01:14 Langchain updates 00:05:06 Virtual Environment using UV 00:16:40 Agents QWith Langchain 00:35:37 Langchain Model Integration 00:47:46 Streaming And Batch 00:55:22 Tools In Langchain 01:04:36 Messages Types In Langchain 01:20:51 Pydantic structured Output 01:37:17 Typedict Structured Output 01:43:16 Data Class Structured Output 01:49:56 Middleware Summarization 02:17:37 Human in the loop Middleware ---------------------------------------------------------------------------------
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1 Natural Language Processing|Stemming
Natural Language Processing|Stemming
Krish Naik
 2 Natural Language Processing|BagofWords
Natural Language Processing|BagofWords
Krish Naik
 3 Gaussian distribution or Normal Distribution in statisctics
Gaussian distribution or Normal Distribution in statisctics
Krish Naik
 4 Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Krish Naik
 5 Log Normal Distribution in Statistics
Log Normal Distribution in Statistics
Krish Naik
 6 Covariance in Statistics
Covariance in Statistics
Krish Naik
 7 Confusion matrix, Precision, Recall| Data Science Interview questions
Confusion matrix, Precision, Recall| Data Science Interview questions
Krish Naik
 8 Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Tutorial 44-Balanced vs Imbalanced Dataset and how to handle Imbalanced Dataset
Krish Naik
 9 Implementing a Spam classifier in python| Natural Language Processing
Implementing a Spam classifier in python| Natural Language Processing
Krish Naik
 10 Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Krish Naik
 11 Face Recognition using open CV and VGG 16 Transfer Learning
Face Recognition using open CV and VGG 16 Transfer Learning
Krish Naik
 12 Pedestrian Detection using OpenCV from Videos
Pedestrian Detection using OpenCV from Videos
Krish Naik
 13 Face and Eye Detection from Videos using HAAR Cascade Classifier
Face and Eye Detection from Videos using HAAR Cascade Classifier
Krish Naik
 14 Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Krish Naik
 15 OpenCV Installation | OpenCV tutorial
OpenCV Installation | OpenCV tutorial
Krish Naik
 16 Face and Eye Detection from Images using HAAR Cascade Classifier
Face and Eye Detection from Images using HAAR Cascade Classifier
Krish Naik
 17 Car Detection using HAAR Cascade and Opencv from Videos.
Car Detection using HAAR Cascade and Opencv from Videos.
Krish Naik
 18 Using OpenFace for Face recognition in Keras
Using OpenFace for Face recognition in Keras
Krish Naik
 19 OpenPose Tutorial with Tensorflow
OpenPose Tutorial with Tensorflow
Krish Naik
 20 Multiple Linear Regression using python and sklearn
Multiple Linear Regression using python and sklearn
Krish Naik
 21 Dimensional Reduction| Principal Component Analysis
Dimensional Reduction| Principal Component Analysis
Krish Naik
 22 Movie Recommender System using Python
Movie Recommender System using Python
Krish Naik
 23 TPR,FPR,FNR,TNR, Confusion Matrix
TPR,FPR,FNR,TNR, Confusion Matrix
Krish Naik
 24 Precision, Recall and F1-Score
Precision, Recall and F1-Score
Krish Naik
 25 Artificial Neural Network for Customer's Exit Prediction from Bank
Artificial Neural Network for Customer's Exit Prediction from Bank
Krish Naik
 26 GridSearchCV- Select the best hyperparameter for any Classification Model
GridSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
 27 RandomizedSearchCV- Select the best hyperparameter for any Classification Model
RandomizedSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
 28 K Nearest Neighbor classification with Intuition and practical solution
K Nearest Neighbor classification with Intuition and practical solution
Krish Naik
 29 K Means Clustering Intuition
K Means Clustering Intuition
Krish Naik
 30 Create custom Alexa Skill- Lambda function- Part2
Create custom Alexa Skill- Lambda function- Part2
Krish Naik
 31 Hierarchical Clustering intuition
Hierarchical Clustering intuition
Krish Naik
 32 Implement Transfer Learning with a generic Code Template
Implement Transfer Learning with a generic Code Template
Krish Naik
 33 Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Krish Naik
 34 Unlock Your Application With Your Face using OpenCV
Unlock Your Application With Your Face using OpenCV
Krish Naik
 35 Draw rectangle from webcam and sketch process it on a live feed
Draw rectangle from webcam and sketch process it on a live feed
Krish Naik
 36 Complete Life Cycle of a Data Science Project
Complete Life Cycle of a Data Science Project
Krish Naik
 37 How we can apply Machine Learning in Finance
How we can apply Machine Learning in Finance
Krish Naik
 38 Deep Learning in Medical Science
Deep Learning in Medical Science
Krish Naik
 39 How to switch your career to Data Science.
How to switch your career to Data Science.
Krish Naik
 40 Linear Regression Mathematical Intuition
Linear Regression Mathematical Intuition
Krish Naik
 41 Handle Categorical features using Python
Handle Categorical features using Python
Krish Naik
 42 Machine Learning Algorithm- Which one to choose for your Problem?
Machine Learning Algorithm- Which one to choose for your Problem?
Krish Naik
 43 DBSCAN Clustering Easily Explained with Implementation
DBSCAN Clustering Easily Explained with Implementation
Krish Naik
 44 Curse of Dimensionality Easily explained| Machine Learning
Curse of Dimensionality Easily explained| Machine Learning
Krish Naik
 45 Feature Selection Techniques Easily Explained | Machine Learning
Feature Selection Techniques Easily Explained | Machine Learning
Krish Naik
 46 Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
Krish Naik
 47 Cross Validation using sklearn and python | Machine Learning
Cross Validation using sklearn and python | Machine Learning
Krish Naik
 48 Handling Missing Data Easily Explained| Machine Learning
Handling Missing Data Easily Explained| Machine Learning
Krish Naik
 49 Deploy Machine Learning Model using Flask
Deploy Machine Learning Model using Flask
Krish Naik
 50 Deployment of Deep Learning Model using Flask
Deployment of Deep Learning Model using Flask
Krish Naik
 51 How to Visualize Multiple Linear Regression in python
How to Visualize Multiple Linear Regression in python
Krish Naik
 52 K Nearest Neighbour Easily Explained with Implementation
K Nearest Neighbour Easily Explained with Implementation
Krish Naik
 53 Predicting Heart Disease using Machine Learning
Predicting Heart Disease using Machine Learning
Krish Naik
 54 Predicting Lungs Disease using Deep Learning
Predicting Lungs Disease using Deep Learning
Krish Naik
 55 Stock Sentiment Analysis using News Headlines
Stock Sentiment Analysis using News Headlines
Krish Naik
 56 Random Forest(Bootstrap Aggregation) Easily Explained
Random Forest(Bootstrap Aggregation) Easily Explained
Krish Naik
 57 Voting Classifier(Hard Voting and Soft Voting Classifier)
Voting Classifier(Hard Voting and Soft Voting Classifier)
Krish Naik
 58 Credit Card Fraud Detection using Machine Learning from Kaggle
Credit Card Fraud Detection using Machine Learning from Kaggle
Krish Naik
 59 Hyperparameter Optimization for Xgboost
Hyperparameter Optimization for Xgboost
Krish Naik
 60 Tutorial 45-Handling imbalanced Dataset using python- Part 1
Tutorial 45-Handling imbalanced Dataset using python- Part 1
Krish Naik

Related AI Lessons

Chapters (13)

Introduction
1:14 Langchain updates
5:06 Virtual Environment using UV
16:40 Agents QWith Langchain
35:37 Langchain Model Integration
47:46 Streaming And Batch
55:22 Tools In Langchain
1:04:36 Messages Types In Langchain
1:20:51 Pydantic structured Output
1:37:17 Typedict Structured Output
1:43:16 Data Class Structured Output
1:49:56 Middleware Summarization
2:17:37 Human in the loop Middleware
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