Word on the street is that GPT-4 is already done, and that the geniuses at OpenAI are secretly working on GPT-5 as we speak. That's right; you heard it here first! But is it true? Is the next generation of language models already underway? Let's dive in and find out

0:00: Intro
0:29: GPT-5
1:31: Is Bing's AI Chatbot GPT-4?
4:13 A100 GPUs


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This Social Media Marketing Course will take you through a number of important topics that will help you make the most out of your social media marketing campaigns. In this Social Media Marketing Tutorial, we will focus on how you can start with social media marketing, Facebook ads, some tips and strategies to advertise on Facebook, how you can rank #1 on YouTube, how you can increase YouTube subscribers, how you can increase Twitter and Instagram followers and some of the best tools you can use for Social Media Marketing. Now, let's have a look at Social Media Marketing and the different avenues it provides to advertise your product or service.

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Before building a social media marketing plan, you need to start with the fundamentals; a definition of the concept will provide a foundation on which to develop your understanding. At the simplest level, social media marketing involves the use of various social media channels to connect with more customers and lead them to your product or service. That is an excellent place to start, but it doesn't tell the whole story. Neil Patel, one of the most successful entrepreneurs in the social media realm, defines social media marketing as the process of "creating content that you have tailored to the context of each social media platform to drive user engagement and sharing."

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This short tutorial explains the training objectives used to develop ChatGPT, the new chatbot language model from OpenAI.

Timestamps:
0:00 - Non-intro
0:24 - Training overview
1:33 - Generative pretraining (the raw language model)
4:18 - The alignment problem
6:26 - Supervised fine-tuning
7:19 - Limitations of supervision: distributional shift
8:50 - Reward learning based on preferences
10:39 - Reinforcement learning from human feedback
13:02 - Room for improvement

ChatGPT: https://openai.com/blog/chatgpt

Relevant papers for learning more:
InstructGPT: Ouyang et al., 2022 - https://arxiv.org/abs/2203.02155
GPT-3: Brown et al., 2020 - https://arxiv.org/abs/2005.14165
PaLM: Chowdhery et al., 2022 - https://arxiv.org/abs/2204.02311
Efficient reductions for imitation learning: Ross & Bagnell, 2010 - https://proceedings.mlr.press/v9/ross10a.html
Deep reinforcement learning from human preferences: Christiano et al., 2017 - https://arxiv.org/abs/1706.03741
Learning to summarize from human feedback: Stiennon et al., 2020 - https://arxiv.org/abs/2009.01325
Scaling laws for reward model overoptimization: Gao et al., 2022 - https://arxiv.org/abs/2210.10760
Proximal policy optimization algorithms: Schulman et al., 2017 - https://arxiv.org/abs/1707.06347

Special thanks to Elmira Amirloo for feedback on this video.

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This video," Data Analyst Interview Questions And Answers" by Simplilearn, will take you through the most frequently asked Data Analytics Interview Questions. Data analysis is one of the trending jobs of the 21st century. This video covers all the important questions that would help you crack a data analyst interview. It has a set of basic questions related to the data analytics field. It also has a collection of beginner, intermediate and advanced-level questions based on MS Excel, SQL, Tableau, and Python. It would enrich your theoretical and practical knowledge of data analytics. What you will learn
0:00 Data Analyst Interview Questions And Answers
00:34 What is the difference between Data Mining and Data Profiling?
01:38 Define the term Data Wrangling
02:40 What are the common problems that data analysts encounter during analysis?
03:09 What are the various steps involved in any analytics project?
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09:16 How is overfitting different from underfitting?
10:01 In MS Excel, A numeric Value can be treated as text value if it precedes with
10:29 What is the difference between COUNT, COUNTA, COUNTBLANK and COUNTIF in Excel?
11:29 Explain how VLOOKUP works in Excel?
13:21 How do you subset or filter data in SQL?
15:39 What is the difference between WHERE and HAVING clause in SQL?
17:58 Write the Python code to create an employees dataframe and display the head and summary of it.
18:46 How will you select the Department and Age columns from an Employees dataframe?
19:22 What is the criteria to say whether a developed data model is good or not?
20:08 What is the significance of Exploratory data analysis?
21:09 Explain descriptive, predictive, and prescriptive analytics.
23:01 What are the different types of sampling techniques used by data analysts?
24:45 What are the different types of Hypothesis testing?
25:42 Describe univariate, bivariate, and multivariate analysis.
29:56 write a SQL query to find the record with fourth highest market price
30:52 find the total and average market price for each currency
33:36 Create a dual axis chart in Tableau to present Sales
34:36 Design a view in Tableau to show State wise Sales
40:39 How do you write a stored procedure in SQL?
43:01 What is the difference between Tree maps and Heat maps in Tableau

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Simplilearn’s Python Training Course is an all-inclusive program that will introduce you to the Python development language and expose you to the essentials of object-oriented programming, web development with Django and game development. Python has surpassed Java as the top language used to introduce U.S. students to programming and computer science. This course will give you hands-on development experience and prepare you for a career as a professional Python programmer.

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This "AWS S3 Tutorial for Beginners" video by Edureka will help you understand one of the most popular storage service, Amazon S3, and related concepts in detail. Following are the offerings of this video:
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About Course :

What is the AWS Online Course?

This cloud computing platform holds 69% share of the global cloud computing market. Some of the prominent companies that use AWS as their backbone are Kelloggs, Netflix, Adobe, Airbnb and General Electric. Irrespective of the size of an organization, everyone has started to adopt cloud services in one way or the other, and AWS is the major player in the cloud services industry. AWS Certification Training from Edureka is designed to provide in-depth knowledge about its architectural principles and its services. The sessions will be conducted by industry practitioners who will train you to leverage AWS services to make the AWS infrastructure scalable, reliable, and highly available. This AWS online training is completely aligned to AWS Exam.

Who should go for this AWS Certification Training?

This AWS Course is designed for IT professionals who want to pursue a career in cloud computing and become an AWS Certified Solutions Architect. Our AWS Training Online helps you grab this opportunity and accelerate your career. It is best suited for:
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DevOps professionals
Professionals with an understanding of application, server, and network security and compliance

Welcome to this comprehensive SQL tutorial course. This course covers the basics of relational databases and SQL, including setting up MySQL, inserting data, and working with aggregation, grouping, and pagination in SQL queries. It also covers advanced topics such as combining tables using joins, executing SQL queries using Python and SQL Alchemy, and solving technical interview questions. By the end of this course, you'll have the knowledge and confidence to excel in SQL.

✏️ Course created by@jovianhq

Important Links
🔗 Relational Databases notebook - https://jovian.com/aakashns/re....lational-databases-a
🔗 Advanced SQL Aggregation & Joins notebook - https://jovian.com/aakashns/ad....vanced-sql-aggregati
🔗 SQL data file: https://raw.githubusercontent.....com/harsha547/Classi

A database is an organized collection of structured information, typically stored in the form of tables (rows & columns). Relational databases allow storing and retrieving different kinds of related information e.g. products, customers, and orders for an online shopping site. Structured Query Language or SQL (pronounced "sequel") is the most widely used language for interacting with relational databases, and is an essential skill for Data Science professionals.

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:28) Relational Databases & SQL
⌨️ (0:03:05) Setting up MySQL
⌨️ (0:29:23) Inserting Data into the Table
⌨️ (0:56:32) Practice Exercises
⌨️ (1:22:12) Aggregation, grouping & pagination in SQL queries
⌨️ (2:23:17) Mapping and Arithmetic Functions
⌨️ (2:54:53) Working with Dates
⌨️ (3:12:16) Combining Tables using Joins
⌨️ (3:30:14) Executing SQL queries using Python and SQL Alchemy
⌨️ (4:11:06) 3 step approach to Interview Questions
⌨️ (4:36:58) Interview Q - Apple
⌨️ (4:38:59) Interview Q - Linkedin
⌨️ (4:43:09) Interview Q - Meta
⌨️ (4:50:41) Interview Q - Uber
⌨️ (4:59:18) Interview Q - Amazon
⌨️ (5:07:27) Interview Q - Google

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Choice Hotels CIO Brian Kirkland joins Caroline Hyde ahead of Memorial Day weekend to discuss how AI has been transforming the travel industry.
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Dead simple way to run LLaMA on your computer. - https://cocktailpeanut.github.io/dalai/

LLaMa Model Card - https://github.com/facebookres....earch/llama/blob/mai

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What are Fine-tuning and Embeddings in GPT-3 and how are they useful?
Explained and demonstrated here in 5 minutes in plain, simple English.

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Cfhyya

Professor Christopher Manning & PhD Candidate Abigail See, Stanford University
http://onlinehub.stanford.edu/

Professor Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
Director, Stanford Artificial Intelligence Laboratory (SAIL)

To follow along with the course schedule and syllabus, visit: http://web.stanford.edu/class/....cs224n/index.html#sc

0:00 Introduction
0:27 Announcements
1:09 Overview
2:47 Natural Language Generation (NLG)
5:00 Recap: training a (conditional) RNN-LM
6:21 Recap: decoding algorithms
6:47 Recap: greedy decoding
7:32 Recap: beam search decoding
8:57 Aside: Do the hosts in Westworld use beam search?
10:07 What's the effect of changing beam size k?
13:16 Effect of beam size in chitchat dialogue
15:58 Sampling-based decoding
18:22 Softmax temperature
21:03 Decoding algorithms: in summary
22:55 Summarization: task definition
27:04 Summarization: two main strategies
28:20 Pre-neural summarization
31:00 Summarization evaluation: ROUGE
35:20 Neural summarization (2015-present)
38:53 Neural summarization: copy mechanisms
42:58 Neural summarization: better content selection
43:47 Bottom-up summarization
45:46 Neural summarization via Reinforcement Learning
49:36 Pre- and post-neural dialogue
50:56 Seq2seq-based dialogue
52:36 Irrelevant response problem
54:19 Genericness / boring response problem
56:38 Repetition problem
59:12 Storytelling
59:35 Generating a story from an image

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐌𝐢𝐜𝐫𝐨𝐬𝐨𝐟𝐭 𝐀𝐳𝐮𝐫𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 :https://www.edureka.co/microso....ft-certified-azure-s (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on the Azure Load Balancer Tutorial talks about what Azure Load Balancer are, and how to use them in Azure. We will also do a hands-on in the end, in which we will be deploying a load Balancers on Azure.
The following pointers are covered in this AzureLoad Balancer video:
00:00:00 Introduction
00:00:35 Agenda
00:00:50 What is Azure Load Balancer?
00:01:32 Why use load Balancer?
00:03:08 Azure Load Balancer Types
00:05:49 Azure Load Balancer vs Application Gateway vs Traffic Manager
00:08:13 Hands-on

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚'𝐬 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐄𝐭𝐡𝐢𝐜𝐚𝐥 𝐇𝐚𝐜𝐤𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐂𝐄𝐇 𝐯𝟏𝟐 : https://www.edureka.co/ceh-eth....ical-hacking-certifi
This Edureka "What is Kali Linux" tutorial will help you understand basics of Kali Linux. You will also get to learn the features of Kali Linux and option available to install Kali Linux. Below is the list of topics covered in this Kali Linux tutorial:
00:00:00 Introduction
00:00:43 Introduction to Kali Linux
00:01:38 History of Kali Linux
00:02:12 Why use Kali Linux
00:03:48 Kali Linux - Installation Options

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

🔵 DevOps Online Training: http://bit.ly/3VkBRUT
🌕 AWS Online Training: http://bit.ly/3ADYwDY
🔵 React Online Training: http://bit.ly/3Vc4yDw
🌕 Tableau Online Training: http://bit.ly/3guTe6J
🔵 Power BI Online Training: http://bit.ly/3VntjMY
🌕 Selenium Online Training: http://bit.ly/3EVDtis
🔵 PMP Online Training: http://bit.ly/3XugO44
🌕 Salesforce Online Training: http://bit.ly/3OsAXDH
🔵 Cybersecurity Online Training: http://bit.ly/3tXgw8t
🌕 Java Online Training: http://bit.ly/3tRxghg
🔵 Big Data Online Training: http://bit.ly/3EvUqP5
🌕 RPA Online Training: http://bit.ly/3GFHKYB
🔵 Python Online Training: http://bit.ly/3Oubt8M
🌕 Azure Online Training: http://bit.ly/3i4P85F
🔵 GCP Online Training: http://bit.ly/3VkCzS3
🌕 Microservices Online Training: http://bit.ly/3gxYqqv
🔵 Data Science Online Training: http://bit.ly/3V3nLrc
🌕 CEHv12 Online Training: http://bit.ly/3Vhq8Hj
🔵 Angular Online Training: http://bit.ly/3EYcCTe

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐑𝐨𝐥𝐞-𝐁𝐚𝐬𝐞𝐝 𝐂𝐨𝐮𝐫𝐬𝐞𝐬

🔵 DevOps Engineer Masters Program: http://bit.ly/3Oud9PC
🌕 Cloud Architect Masters Program: http://bit.ly/3OvueZy
🔵 Data Scientist Masters Program: http://bit.ly/3tUAOiT
🌕 Big Data Architect Masters Program: http://bit.ly/3tTWT0V
🔵 Machine Learning Engineer Masters Program: http://bit.ly/3AEq4c4
🌕 Business Intelligence Masters Program: http://bit.ly/3UZPqJz
🔵 Python Developer Masters Program: http://bit.ly/3EV6kDv
🌕 RPA Developer Masters Program: http://bit.ly/3OteYfP
🔵 Web Development Masters Program: http://bit.ly/3U9R5va
🌕 Computer Science Bootcamp Program : http://bit.ly/3UZxPBy
🔵 Cyber Security Masters Program: http://bit.ly/3U25rNR
🌕 Full Stack Developer Masters Program : http://bit.ly/3tWCE2S
🔵 Automation Testing Engineer Masters Program : http://bit.ly/3AGXg2J
🌕 Python Developer Masters Program : https://bit.ly/3EV6kDv
🔵 Azure Cloud Engineer Masters Program: http://bit.ly/3AEBHzH

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐬

🌕 Post Graduate Program in DevOps with Purdue University: https://bit.ly/3Ov52lT

🔵 Advanced Certificate Program in Data Science with E&ICT Academy, IIT Guwahati: http://bit.ly/3V7ffrh


📌𝐓𝐞𝐥𝐞𝐠𝐫𝐚𝐦: https://t.me/edurekaupdates
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📌𝐂𝐚𝐬𝐭𝐛𝐨𝐱: https://castbox.fm/networks/505?country=IN
📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥AWS Architect Certification Training - https://www.edureka.co/aws-certification-training
This video is about the features and benefits of AWS Rekognition. It shows how AWS Rekognition can effortlessly analyze images and videos. The topics that we will cover in this session are as follows:
· What is Amazon Rekognition?
· Features
· Advantages
· How it works?
· Use cases
· Demo

🔹Amazon AWS Video Tutorial Playlist https://goo.gl/9fQX6J

Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV
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#edureka #EdurekaAWS #AWSRekognition #awsTutorial #awsTraining #cloudComputing
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How does it work?
1. This is a 5 Week Instructor-led Online Course.
2. The course consists of 30 hours of online classes, 30 hours of assignment, 20 hours of project
3. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
4. You will get Lifetime Access to the recordings in the LMS.
5. At the end of the training, you will have to complete the project based on which we will provide you a Verifiable Certificate!
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About the Course

AWS Architect Certification Training from Edureka is designed to provide in-depth knowledge about Amazon AWS architectural principles and its components. The sessions will be conducted by Industry practitioners who will train you to leverage AWS services to make the AWS cloud infrastructure scalable, reliable, and highly available. This course is completely aligned to AWS Architect Certification - Associate Level exam conducted by Amazon Web Services.

During this AWS Architect Online training, you'll learn:
1. AWS Architecture and different models of Cloud Computing
2. Compute Services: Amazon EC2, Auto Scaling, and Load Balancing, AWS Lambda, Elastic Beanstalk
3. Amazon Storage Services: EBS, S3 AWS, Glacier, CloudFront, Snowball, Storage Gateway
4. Database Services: RDS, DynamoDB, ElastiCache, RedShift
5. Security and Identity Services: IAM, KMS
6. Networking Services: Amazon VPC, Route 53, Direct Connect
7. Management Tools: CloudTrail, CloudWatch, CloudFormation, OpsWorks, Trusty Advisor
8. Application Services: SES, SNS, SQS
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Course Objectives

On completion of the AWS Architect Certification Training, the learner will be able to:
1. Design and deploy scalable, highly available, and fault-tolerant systems on AWS
2. Understand the lift and shift of an existing on-premises application to AWS
3. Ingress and egress of data to and from AWS
4. Identifying appropriate use of AWS architectural best practices
5. Estimating AWS costs and identifying cost control mechanisms
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Pre-requisites

There are no specific prerequisites for this course. Any professional who has an understanding of IT Service Management can join this training. There is no programming knowledge needed and no prior AWS experience required.
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If you are looking for live online training, write back to us at [email protected] or call us at the US: + 18338555775 (Toll-Free) or India: +91 9606058406 for more information.

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This video by Simplilearn on JavaScript Full Course is designed, developed, and curated in collaboration with industry experts to make sure to cover the major technical fundamentals, skills, tips, and tricks required to become an expert JavaScript Developer according to the current IT Standards. This JavaScript Tutorial For Beginners video will help you become proficient in JavaScript. At the end of the video, you will understand the concepts required to build complex JS applications.

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out our JavaScript training videos playlist: https://www.youtube.com/watch?v=LO5eTH4Pe8E&list=PLEiEAq2VkUULeP75xLYYnY1wqddxPdSXj

#JavaScriptDeveloperTutorial #JavaScriptCourse #JavaScriptTutorial #LearnJavaScript #JavaScriptTraining #JavaScriptForBeginner #JavaScriptTutorial #JavaScript #JavaScriptTutorialForBeginners #Simplilearn #SimpliCode

What is JavaScript:
JavaScript is a scripting language that is used to create and manage dynamic web pages, basically anything that moves on your screen without requiring you to refresh your browser. It can be anything from animated graphics to an automatically generated Facebook timeline. When most people get interested in web development, they start with good old HTML and CSS. From there, they move on to JavaScript, which makes sense because these three elements together form the backbone of web development.

Check our Full Stack Web Developer program to learn more about JavaScript: https://www.simplilearn.com/full-stack-web-developer-mean-stack-certification-training?utm_campaign=JSFC17Sep22&utm_medium=Description&utm_source=youtube.

About Full Stack Web Developer - MEAN Stack Course:
This program will advance your career as a MEAN stack developer. You’ll learn top skills such as MongoDB, Express.js, Angular, and Node.js (“MEAN”), plus GIT, HTML, CSS, and JavaScript to build and deploy interactive applications and services. This Full Stack MEAN Developer program provides complete knowledge of software development and testing technologies such as JavaScript, Node.js, Angular, Docker, and Protractor. You'll build an end-to-end application, test and deploy code, and store data using MongoDB.

Key Features:
✅ Comprehensive Blended Learning program
✅ 270 hours of in-depth training
✅ 150 hours of instructor-led training
✅120 hours of self-paced learning
✅ 20 + in-demand tools and skills
✅ 10 lesson-end & 4 phase-end projects
✅ Choose from 4 industry-aligned capstone projects

🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688

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