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Generative AI
2,980,756 Views · 4 years ago

❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers
❤️ Their mentioned post is available here: https://wandb.ai/wandb/in-betw....een/reports/-Overvie

📝 The paper "Robust Motion In-betweening" is available here:
- https://static-wordpress.akama....ized.net/montreal.ub
- https://montreal.ubisoft.com/e....n/automatic-in-betwe

Dataset: https://github.com/XefPatterso....n/Ubisoft-LaForge-An

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#gamedev

Generative AI
3,986 Views · 3 years ago

🔥Full Stack Java Developer (India Only) - https://www.simplilearn.com/java-full-stack-developer-certification-training-course?utm_campaign=JSFC17Sep22&utm_medium=DescriptionFirstFold&utm_source=youtube
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🔥Caltech Coding Bootcamp(US Only): https://www.simplilearn.com/coding-bootcamp?utm_campaign=JSFC17Sep22&utm_medium=DescriptionFirstFold&utm_source=youtube

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.

JavaScript Full Course 2023 00:00:00
Introduction To JavaScript 00:03:03
Why Learn JavaScript 00:12:17
What is DOM 00:18:16
How To Install VS Code 00:23:46
Hello World Program In JavaScript 00:30:36
JavaScript Statements And Comments 00:42:33
Variables In JavaScript 00:48:23
Data Types In JavaScript 00:58:29
Type Conversion In JavaScript 01:05:36
Operators In JavaScript 01:15:22
JavaScript Control Statements 01:53:13
If Else Statement In JavaScript 01:57:22
Switch Case Statements 02:07:54
Loops In JavaScript 02:19:42
Functions In JavaScript 02:54:19
Scope Of Variables In JavaScript 03:03:12
String In JavaScript 03:09:50
Arrays In JavaScript 03:17:19
Objects In JavaScript 03:31:56
Taking Input From User In JavaScript 03:58:53
getElementByTagName() Method In JavaScript 04:26:34
getElementByClassName Method In JavaScript 04:39:55
On Mouse Over And On Mouse Out Events In JavaScript 04:51:57
Prototypal Inheritance In JavaScript 05:01:53
Classes And Inheritance In JavaScript 05:20:18
Call Back Function In JavaScript 05:36:47
Promises In JavaScript 05:51:27
JavaScript Arrow Functions 06:03:05
Timing Function In JavaScript 06:12:01
Async Await JavaScript 06:22:11
Error Handling In JavaScript 06:34:25
Regular Expressions(Regex) In JavaScript 06:47:45
Form Validation In JavaScript 07:42:46
Animation In JavaScript 07:59:32
Wordle Game in JavaScript 08:19:47
JavaScript Website Project 09:22:17

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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

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Generative AI
3,184 Views · 3 years ago

🔥Post Graduate Program in Data Analytics: https://www.simplilearn.com/pgp-data-analytics-certification-training-course?utm_campaign=ExcelFullCourseFeb4&utm_medium=DescriptionFirstFold&utm_source=youtube
This Excel Tutorial full course will help you get started with Excel and explore the features it offers. You will take a tour to understand Excel basics and look at how to write functions, sort, and filter data, how to import data and split data into multiple columns, learn about sumif and countif functions, and many more functions and formulas available in Microsoft Excel.

Dataset Link - https://drive.google.com/drive..../folders/1SHluFgVDj_

00:01:18 Introduction to MS Excel
00:04:47 Excel Basics
00:21:41 Lock Cells in Excel
00:27:09 Page Setup in Excel
00:45:13 What if Analysis
00:49:34 Charts in Excel
01:07:50 Data Validation in Excel
01:34:20 Lookup Functions in Excel
02:14:20 Slicers in Excel
02:18:42 Excel Budget Template
02:25:35 MIS Report in Excel
02:35:43 Excel Macros
02:47:09 Excel VBA
03:37:56 Regression in Excel
04:04:32 Excel Power Query
05:29:50 Excel Interview Questions

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#advancedExcelFullCourse #advancedExcelTutorial #ExcelTraining #AdvancedExcelFormulas #AdvancedExcelFunctions #Vlookup #hlookup #xlookup #sumifs #concatinate #if #excelDashboard #excelReport #ExcelDataAnalytics #ExcelCourse #ExcelFullCourse #ExcelTutorial #MicrosoftExcelTutorial #ExcelTutorialForBeginners #LearnExcel #Simplilearn #2022

What is Microsoft Excel?
Excel is one of the best applications available on the market for creating spreadsheets to crunch numbers and dashboard reports as well as storing and administering data. This software first appeared on the scene back in 1987, and since then it has grown to become one of the most popular pieces of software for home or business.

To learn more about excel, checkout out the Business Analytics certification course with excel: https://www.simplilearn.com/big-data-and-analytics/business-analytics-certification-training?utm_campaign=ExcelFullCourseOCT10&utm_medium=Description&utm_source=youtube

About Business Analytics Certification Course with Excel:
Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career. This Business Analytics certification course teaches you the basic concepts of data analysis and statistics to help data-driven decision-making. This training introduces you to Power BI and delves into the statistical concepts that will help you devise insights from available data in order to present your findings using executive-level dashboards.

Key Features:
✅ 12 hours of self-paced video
✅ Two hands-on industry-based projects on healthcare and e-commerce
✅ Includes training on business intelligence using Power BI
✅ Eight practical exercises
✅ Lifetime access to self-paced learning

Eligibility:
Business Analytics with Excel is the best course for both beginners and experienced professionals who are inexperienced or have recently entered the analytics field. This Business Analytics online course is beneficial for IT developers and testers, data analysts, junior data scientists, analytics professionals, BI and reporting professionals, project managers, students, and professionals working with data in any industry.

Pre-requisites:
There are no prerequisites for this Business Analytics certification training other than an analytical mindset. However, we do expect the participants to have a basic knowledge of working with Microsoft Excel.

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Generative AI
2,521 Views · 3 years ago

🔥Post Graduate Program In Cloud Computing: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=AWS-RLd_XTyt-w8&utm_medium=Descriptionff&utm_source=youtube
🔥Caltech Cloud Computing Bootcamp(US Only): https://www.simplilearn.com/cloud-computing-bootcamp-certification-course?utm_campaign=AWS-RLd_XTyt-w8&utm_medium=Descriptionff&utm_source=youtube

This AWS full course will help you understand what is AWS (Amazon Web Services), how did AWS become so successful, the services that AWS provides (AWS EC2, Amazon Elastic Beanstalk, Amazon Lightsail, Amazon Lambda, Amazon S3, Amazon Glacier, Amazon EBS, Amazon Elastic File System, Amazon RDS, Amazon Redshift), the future of AWS and a demonstration on deploying a web application in AWS. Amazon Web services (AWS) provide a lot of benefits to a business organization. These benefits allow you to maximize your productivity and enhance efficiency.

🔥Explore our FREE Courses: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=AWS&utm_medium=Description&utm_source=youtube

The below topics are covered in this AWS full course tutorial:
Why Cloud Computing? - 02:09
What is AWS? - 26:52
Use Case - Deploying web Application - 41:12
What is AWS EC2 - 49:42
EC2 Use Case - 50:37
What is AWS Lambda - 1:11:00
AWS Lambda Use Case - 1:16:35
What is AWS S3 - 1:31:44
Benefits of S3 - 01:33:15
Object & Bucket in Amazon S3 - 1:35:28
How does Amazon S3 work - 1:39:53
Storage class in Amazon S3 with a "School" use case - 1:41:26
What is AWS security? - 1:46:48
Types of AWS security - 1:47:25
Why IAM? - 1:48:21
What is AWS IAM - 1:49:59
How IAM works -1:50:43
Components of IAM - 1:55:05
Components of IAM - User - 1:55:36
Components of IAM - Group - 1:57:41
Components of IAM - Policies - 1:59:47
Components of IAM - Roles - 2:04:22
Features of IAM -2:09:56
Demo - Create a S3 bucket using MFA feature - 2:13:46
Demo - Multi-Factor Authentication - 2:14:22
Why use AWS CloudFormation - 2:27:34
What is AWS CouldFormation - 2:29:31
How AWS CloudFormation work? - 2:33:24
AWS CloudFormation Concepts - 2:34:42
Templates - 2:34:57
Template structure - 2:38:43
Format version - 2:39:05
Description - 2:39:27
Metadata - 2:39:45
Parameters - 2:39:59
Mapping - 2:40:49
Conditions - 2:41:03
Transform - 2:42:49
Resource - 2:43:25
Output - 2:44:45
Template Resource Attributes - 2:46:02
CreationPolicy - 2:46:17
DeletionPolicy - 2:47:24
DependsOn - 2:48:20
Metadata - Template Resource Attributes - 2:49:50
UpdatePolicy - Template Resource Attributes - 2:50:22
Stack - 2:51:13
Nested Stack - 2:52:29
Windows Stack - 2:53:08
StackSets - 2:53:59
CloudFormation Acess Control - 2:54:54
Demo - LAMP stack on EC2 instance - 2:55:38
Use case - Create a redeployable template - 3:03:59
AWS Certifications - 3:07:00
What is an AWS Certification? - 3:07:04
Why is it important? - 3:07:46
How to become a succesfull AWS Architect - 03:17:06
Interview questions in AWS - 3:25:07

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➡️ Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.

✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive upto 30 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Master Classes taught by Caltech CTME instructor
- 8X higher interaction in live online classes by industry experts
- Online Convocation by Caltech CTME Program Director
- 40+ Hands-On Projects and Integrated Labs

✅ Skills Covered
- Cloud Provider Selection
- Application Migration
- Performance Testing
- Cloud Workloads
- Identity Access Management
- Disaster Recovery
- Web Services and API
- Cloud Migration and Deployment
- Database Management
- MultiCloud Deployment


👉Learn More at: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=AWS-RLd_XTyt-w8&utm_medium=Description&utm_source=youtube

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Generative AI
3,101 Views · 3 years ago

This demo shows how to run large AI models from #huggingface on a Single GPU without Out of Memory error. Take a OPT-175B or BLOOM-176B parameter model .These are large language models and often require very high processing machine or multi-GPU, but thanks to bitsandbytes, in just a few tweaks to your code, you can run these large models on single node.

In this tutorial, we'll see 3 Billion parameter BLOOM AI model (loaded from Hugging Face) and #LLM inference on Google Colab (Tesla T4) without OOM.

This is brilliant! Kudos to the team.

bitsandbytes - https://github.com/TimDettmers/bitsandbytes
Google Colab Notebook - https://colab.research.google.....com/drive/1qOjXfQIAU

Generative AI
1,771 Views · 3 years ago

🔥 Data Analyst Master's Program (Discount Code: YTBE15): https://www.simplilearn.com/data-analyst-masters-certification-training-course?utm_campaign=SQLForDataAnalytics0122-YvaddgkneEg&utm_medium=DescriptionFF&utm_source=youtube
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This video on "SQL for Data Analytics 2023" by Simplilearn will help you understand the various skills needed for data analytics in SQL, and you will know how SQL is used for Data Analytics. This SQL tutorial will also help you master all the basic and advanced-level concepts of SQL programming, along with the demos for the same.
Below are the topics we have covered in this SQL For Data Analysis 2023 video.
00:00:00 Introduction to SQL
00:03:32 What is SQL Tutorial?
00:15.33 What is DBMS?
00:32:30 Installation of MySQL on PC
00:40:10 SQL Syntax, Data types, Commands
01:00:32 What are SQL Operators?
01:23:15 What are SQL Expressions?
01:34:02 How to create a database in MySQL?
01:40:44 What is SQL Table Tutorial?
01:57:39 SQL Select Statement tutorial
02:19:41 What is SQL Clause?
02:44:29 SQL Insert Statement tutorial
02:53:48 SQL Update Statement tutorial
03:01:12 SQL Delete Statement tutorial
03:10:21 What is SQL Join?
03:51:37 What are Keys in SQL?
04:04:53 What are Aggregate Functions?
04:21:12 What are Scalar Functions?
04:37:10 SQL Group by and Order by
04:57:08 How to use Where Clause in SQL?
05:01:24 SQL Where vs. Having Clause
05:21:15 What are Subqueries?
05:31:27 How to Create a user-defined Function in SQL?
05:42:51 What are Commit and Rollback in SQL?
05:58:35 SQL Like Clause Tutorial
06:11:52 How to find Nth highest Salary?
06:25:58 WebSQL Tutorial
06:41:00 Cast and Convert Function in SQL
06:57:21 What is View In SQL?
07:17:03 SQL Interview Questions for Beginners

Dataset Link: https://drive.google.com/drive..../folders/1U8CF0Xx3Ni

🔥Free Data Analytics Course: https://www.simplilearn.com/learn-data-analytics-for-beginners-skillup?utm_campaign=SQLForDataAnalytics0122&utm_medium=Description&utm_source=youtube

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#DataAnalyticsWithSQL #DataAnalyticsInSQLFullCourse #DataAnalytics #DataAnalyticsUsingSQL #DataAnalyticsCourse #DataAnalyticsCourseForBeginners #SQLTutorial #SQLTutorialForBeginners #sql #sqlcourse #BusinessAnalystCourse #BusinessAnalyst #BusinessAnalytics #Simplilearn

What is SQL(Structured Query Language)?
SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system or for stream processing in a relational data stream management system.

✅ About Data Analyst Master's Program

This Data Analytics course in collaboration with IBM makes you a Data Analytics expert. Our Data Analyst course helps you learn analytics tools and techniques, how to work with SQL databases, R and Python, how to create data visualizations and apply statistics and predictive analytics in a business environment. This Data Analytics certification also features Masterclasses from IBM experts.

✅ What are the Data Analyst course learning objectives?

Simplilearn’s Data Analyst course delivered in collaboration with IBM will provide you with extensive expertise in the booming field of data analytics. This Data Analytics training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extraction, and forecasting. Through this Data Analyst course, you will also gain expertise in data visualization techniques using Tableau and Power BI, and learn how to organize data and design dashboards.

✅ Why become a Data Analyst?

The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in today’s business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.

✅ Tools Covered

- Microsoft Excel
- Tableau
- NumPy
- Pandas
- SciPi
- Power BI
- Python
- R Programming
- MySQL

👉Learn more at: https://www.simplilearn.com/data-analyst-masters-certification-training-course#why-become-a-data-analyst?utm_campaign=SQLForDataAnalytics0122&utm_medium=Description&utm_source=youtube

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Machine Learning
37 Views · 3 years ago

Поддержите выход новых переводов:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

После аварии на Фукусиме в 2011 году новости заполонило слово «радиация». Тогда-то Дерек Маллер и решил раз и навсегда прояснить, что именно считают опасным после взрывов на атомных станциях.

Перевод: Алексей Лоскутов
Редактура: Елена Смотрвоа
Научная редактура: Кирилл Циберкин
Озвучка: Дмитрий Чепусов, Алексей Никитин, Лиза Чабан
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
Озвучки Vert Dider выходят с вашей помощью:

Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Ira Kozlovskaya, Amir, Ника Калмыкова, Куляш, Roman Inflianskas, Мikhail Samin, Aleksandr P., Vitaliy Vachynyuk, Andrei Lubalin, Pavel Parpura, Anton Bolotov, Alena, opperatius, Oleg Zingilevskiy, Eugene Tsaplin, Anatoly Ressin, Katoto Chan, angel, Kirill Zaslavskii, Victor Cazacov, David Malko, Vadim Velicodnii, Artem Amirbekov, Dzmitryi Halyava, Nastya, Stanislav Obrazcoff, POD666, Evgeny Vrublevsky, Alexander Balynskiy, Oleksandr Hrebeniuk, Ilya, Vladyslav Sokolenko, Kseniya Stukova, Валентин Матвейчик, Irina Shakhverdova, Leonid Steinberg, Kirill Vedensky, Aleksei Shabalin, Alexander Goida, Katya Ma, Morock_D, Sergey P, Ranis Zaripov Roman Gelingen, Сергей Клопов, Alexander Lebedev, Lexx, Nikrodol, Rincewind, Sonra44, Rashn, Rashn, Адам Шифф, Владимир Ямщиков, Мария Зверева, Валентин Ильин, Сергей Платоненко, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, Timur Rahmatulin, Адам Шифф, Арс Ник, Иван Новиков, Илья Зверев, Никита Омельницкий, Ranis Zaripov

#VertDider #Veritasium

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Источник: https://youtu.be/sehKAccM8p0

Machine Learning
15 Views · 2 years ago

🔥 Professional Certificate Program In Generative AI And Machine Learning (India Only) - https://www.simplilearn.com/iitr-generative-ai-machine-learning-program?utm_campaign=4Sep2024-RAG-(Retrieval-Augmented-Generation)&utm_medium=DescriptionFirstFold&utm_source=youtube
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In this tutorial, we'll explore how RAG works, why it’s essential for modern AI, and how it solves the limitations of traditional language models. Whether you're a developer, tech enthusiast, or just curious about AI advancements, this guide will show you how RAG is shaping the future of AI by making models smarter and more relevant.RAG allows AI models to search for real-time information from external sources, combine it with their existing knowledge, and generate accurate, up-to-date responses. It’s like giving AI the ability to "Google" for answers while keeping their knowledge sharp.

00:00 Introduction

-- Frequently Asked Questions

✅ Question 1 What is Retrieval Augmented Generation (RAG)?

Answer:RAG is a hybrid AI technique that combines two key processes: retrieving external data from a knowledge base or web and then generating a response based on both the retrieved information and the model’s pre-trained knowledge. This allows the model to provide more accurate and up-to-date answers compared to traditional language models that only rely on their training data.


✅ Question 2 How does RAG improve the accuracy of AI models?

Answer:RAG enhances accuracy by pulling in relevant, real-time information from external sources. Traditional language models can only answer questions based on data they were trained on, which can become outdated. With RAG, AI models can retrieve the latest information, combine it with what they already know, and generate a response that’s both current and highly informed.


✅ Question 3 What are the main applications of RAG?

Answer:RAG is used in various fields such as customer support, healthcare, finance, and legal research. It powers AI models to deliver real-time, accurate responses by retrieving the most relevant and recent data. For instance, it’s used in chatbots for better customer service, in healthcare for retrieving the latest research, and in search engines to provide more relevant search results.

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