Complete Langchain GEN AI Crash Course With 6 End To End LLM Projects With OPENAI,LLAMA2,Gemini Pro

Krish Naik · Beginner ·🧠 Large Language Models ·2y ago
LangChain is an open source framework that lets software developers working with artificial intelligence (AI) and its machine learning subset combine large language models with other external components to develop LLM-powered applications. The goal of LangChain is to link powerful LLMs, such as OpenAI's GPT-3.5 and GPT-4, to an array of external data sources to create and reap the benefits of natural language processing (NLP) applications. Github: https://github.com/krishnaik06/Complete-Langchain-Tutorials Timestamp 00:00:00 Introduction What We will Learn 00:01:15 Langchain Crash Course 01:…
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Chapters (8)

Introduction What We will Learn
1:15 Langchain Crash Course
1:18:05 Chat With PDF Using Langchain And Astradb
1:41:00 Blog Generation Using LLAMA 2 LLM Models
2:16:00 End To End LLm Projects Using Pinecone VectorDB
2:51:41 Google Gemini Pro Demo
3:19:50 Multi Language Invoice Extractor LLm Project
3:45:41 Conversational Q&A Chatbot Using Gemini Pro API

Playlist

Uploads from Krish Naik · Krish Naik · 0 of 60

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1 Natural Language Processing|Stemming
Natural Language Processing|Stemming
Krish Naik
 2 Natural Language Processing|Lemmatization
Natural Language Processing|Lemmatization
Krish Naik
 3 Natural Language Processing|BagofWords
Natural Language Processing|BagofWords
Krish Naik
 4 Gaussian distribution or Normal Distribution in statisctics
Gaussian distribution or Normal Distribution in statisctics
Krish Naik
 5 Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Natural Language Processing|TF-IDF for Machine Learning| Text Prerocessing
Krish Naik
 6 Log Normal Distribution in Statistics
Log Normal Distribution in Statistics
Krish Naik
 7 Covariance in Statistics
Covariance in Statistics
Krish Naik
 8 CBSE to introduce artificial intelligence courses in classes 8, 9, 10
CBSE to introduce artificial intelligence courses in classes 8, 9, 10
Krish Naik
 9 Confusion matrix, Precision, Recall| Data Science Interview questions
Confusion matrix, Precision, Recall| Data Science Interview questions
Krish Naik
 10 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
 11 Implementing a Spam classifier in python| Natural Language Processing
Implementing a Spam classifier in python| Natural Language Processing
Krish Naik
 12 Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
Krish Naik
 13 Face Recognition using open CV and VGG 16 Transfer Learning
Face Recognition using open CV and VGG 16 Transfer Learning
Krish Naik
 14 Pedestrian Detection using OpenCV from Videos
Pedestrian Detection using OpenCV from Videos
Krish Naik
 15 Face and Eye Detection from Videos using HAAR Cascade Classifier
Face and Eye Detection from Videos using HAAR Cascade Classifier
Krish Naik
 16 Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Reading, Writing and Displaying images with Opencv| OpenCV Tutorial
Krish Naik
 17 OpenCV Installation | OpenCV tutorial
OpenCV Installation | OpenCV tutorial
Krish Naik
 18 Face and Eye Detection from Images using HAAR Cascade Classifier
Face and Eye Detection from Images using HAAR Cascade Classifier
Krish Naik
 19 Car Detection using HAAR Cascade and Opencv from Videos.
Car Detection using HAAR Cascade and Opencv from Videos.
Krish Naik
 20 Using OpenFace for Face recognition in Keras
Using OpenFace for Face recognition in Keras
Krish Naik
 21 OpenPose Tutorial with Tensorflow
OpenPose Tutorial with Tensorflow
Krish Naik
 22 Multiple Linear Regression using python and sklearn
Multiple Linear Regression using python and sklearn
Krish Naik
 23 Dimensional Reduction| Principal Component Analysis
Dimensional Reduction| Principal Component Analysis
Krish Naik
 24 Movie Recommender System using Python
Movie Recommender System using Python
Krish Naik
 25 TPR,FPR,FNR,TNR, Confusion Matrix
TPR,FPR,FNR,TNR, Confusion Matrix
Krish Naik
 26 Precision, Recall and F1-Score
Precision, Recall and F1-Score
Krish Naik
 27 Artificial Neural Network for Customer's Exit Prediction from Bank
Artificial Neural Network for Customer's Exit Prediction from Bank
Krish Naik
 28 GridSearchCV- Select the best hyperparameter for any Classification Model
GridSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
 29 RandomizedSearchCV- Select the best hyperparameter for any Classification Model
RandomizedSearchCV- Select the best hyperparameter for any Classification Model
Krish Naik
 30 K Nearest Neighbor classification with Intuition and practical solution
K Nearest Neighbor classification with Intuition and practical solution
Krish Naik
 31 K Means Clustering Intuition
K Means Clustering Intuition
Krish Naik
 32 Create custom Alexa Skill- Intent Interface- Part1
Create custom Alexa Skill- Intent Interface- Part1
Krish Naik
 33 Create custom Alexa Skill- Lambda function- Part2
Create custom Alexa Skill- Lambda function- Part2
Krish Naik
 34 Hierarchical Clustering intuition
Hierarchical Clustering intuition
Krish Naik
 35 Implement Transfer Learning with a generic Code Template
Implement Transfer Learning with a generic Code Template
Krish Naik
 36 Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Gender Classifier and Age Estimator using Resnet Convolution Neural Network
Krish Naik
 37 Unlock Your Application With Your Face using OpenCV
Unlock Your Application With Your Face using OpenCV
Krish Naik
 38 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
 39 Complete Life Cycle of a Data Science Project
Complete Life Cycle of a Data Science Project
Krish Naik
 40 How we can apply Machine Learning in Finance
How we can apply Machine Learning in Finance
Krish Naik
 41 Deep Learning in Medical Science
Deep Learning in Medical Science
Krish Naik
 42 Setting up Raspberry pi 3 B+
Setting up Raspberry pi 3 B+
Krish Naik
 43 How to switch your career to Data Science.
How to switch your career to Data Science.
Krish Naik
 44 Linear Regression Mathematical Intuition
Linear Regression Mathematical Intuition
Krish Naik
 45 Handle Categorical features using Python
Handle Categorical features using Python
Krish Naik
 46 Machine Learning Algorithm- Which one to choose for your Problem?
Machine Learning Algorithm- Which one to choose for your Problem?
Krish Naik
 47 DBSCAN Clustering Easily Explained with Implementation
DBSCAN Clustering Easily Explained with Implementation
Krish Naik
 48 Curse of Dimensionality Easily explained| Machine Learning
Curse of Dimensionality Easily explained| Machine Learning
Krish Naik
 49 Feature Selection Techniques Easily Explained | Machine Learning
Feature Selection Techniques Easily Explained | Machine Learning
Krish Naik
 50 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
 51 Cross Validation using sklearn and python | Machine Learning
Cross Validation using sklearn and python | Machine Learning
Krish Naik
 52 Handling Missing Data Easily Explained| Machine Learning
Handling Missing Data Easily Explained| Machine Learning
Krish Naik
 53 Deploy Machine Learning Model using Flask
Deploy Machine Learning Model using Flask
Krish Naik
 54 Deployment of Deep Learning Model using Flask
Deployment of Deep Learning Model using Flask
Krish Naik
 55 How to Visualize Multiple Linear Regression in python
How to Visualize Multiple Linear Regression in python
Krish Naik
 56 K Nearest Neighbour Easily Explained with Implementation
K Nearest Neighbour Easily Explained with Implementation
Krish Naik
 57 Predicting Heart Disease using Machine Learning
Predicting Heart Disease using Machine Learning
Krish Naik
 58 Predicting Lungs Disease using Deep Learning
Predicting Lungs Disease using Deep Learning
Krish Naik
 59 Stock Sentiment Analysis using News Headlines
Stock Sentiment Analysis using News Headlines
Krish Naik
 60 Random Forest(Bootstrap Aggregation) Easily Explained
Random Forest(Bootstrap Aggregation) Easily Explained
Krish Naik
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Next Up
5 Levels of AI Agents - From Simple LLM Calls to Multi-Agent Systems
Dave Ebbelaar (LLM Eng)