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This video by simplilearn is based on Google Cloud In-depth tutorial for 2022. This google cloud in-depth tutorial will help you learn the critical fundamentals of the cloud according to the current IT Standards. Also, the tutorial will guide you with critical skills, tips and tricks required to become a cloud expert. In this video, we will be looking into what is GCP? GCP tutorial, AWS vs GCP, GCP web hosting, Google cloud ML, GCP fundamentals, Google Cloud Platform Fundamentals (CP100A) Certification Training.

What is GCP?
GCP Tutorial
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#GoogleCloudPlatformTutorial #GoogleCloudPlatformFullCourse #GoogleCloudTutorial #GoogleCloudPlatformTutorialForBeginners #CloudComputing #Simplilearn

Simplilearn's Google Cloud Platform (GCP) Architect certification program will empower you with the skills needed to advance your career in cloud architecture and become a certified Google Professional Cloud Architect. The course covers IAM, Networking, cloud storage, and much more. Simplilearn’s online Google Cloud Platform (GCP) Architect certification course introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform. In this course, you will learn how to analyze and deploy infrastructure components such as networks, storage systems, and application services.

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This video on the "Blockchain Bootcamp 2023" will help you understand blockchain and its fundamentals clearly and elaborately. Also, this bootcamp helps you to understand what cryptocurrency is, how paper money came into existence, the future of cryptocurrency, the features of cryptocurrency, how cryptocurrency works, what makes cryptocurrencies special, and what is 'crypto' in cryptocurrency. You will also see a comparison between bitcoin, ether, and Dogecoin. So, let's deep dive into this Cryptocurrency for beginners video to understand how cryptocurrency actually works.

Below are the topics covered in this Blockchain Bootcamp:

00:04:27 What is Blockchain
00:11:13 How to Become a Blockchain Developer]
00:09:08 Supply Chain Management
01:12:58 Voting with blockchain
01:14:47 Other Applications of Blockchain
01:15:48 Rise of Blockchain Technology
01:21:38 Blockchain Tutorial
02:06:51 What is Hyperledger
02:38:33 Blockchain Wallet
03:13:26 Ethereum and Its Concepts
03:46:21 Ethereum Mining
03:57:22 Smart Contract
04:19:32 Ethereum 2.0
04:25:01 Ethereum vs Bitcoin
04:34:26 What is Dogecoin?
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05:40:51 10 Thing You didn’t Know About Bitcoin
07:47:24 What is NFT?

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_At Fully Connected, the MLOps conference held by Weights & Biases, Peter Welinder discusses how OpenAI (developers of GPT-4 and DALL-E 2) uses Weights & Biases for model training, with an emphasis on sharing training runs, the ability to create reports, which different teams use heavily to document their hypotheses, experiments, and conclusions resulting in mini scientific papers that provide insights into the work being done at OpenAI._

*Transcript*

Lukas Biewald - Okay, and final question, since this is our user conference and you are such a high profile user of OpenAI, I'm curious if you could say a little bit about how OpenAI uses Weights & Biases and if you have a favorite feature or part of Weights & Biases, we'd love to know about that.

Peter Welinder - Yeah, I mean, we use it for pretty much all of our model training. So just tracking them, I think there's a lot of just sharing of the fact that you can easily share training runs and stuff like that. It's a super-used feature.

But I think one thing that these days I do way, way less of that sort of work. So one of the features I really like is the ability to have reports and so on where people... So we use that quite heavily.

It depends a little bit on the team, but a number of teams are using that quite heavily to kind of really have a clear hypothesis.

Here's the hypothesis.
Here are the experiments that were run to kind of validate or invalidate that hypothesis.
Here's the conclusion.

You have all these mini scientific papers, essentially, on all of the stuff that's happening at OpenAI, which is incredibly interesting to kind of follow along with.

Lukas Biewald - Fantastic. That sounds very interesting.

OpenAI has finally released the most anticipated ChatGPT model today, called "gpt-3.5-turbo". Unlike the GPT 3.0 models that work like a search engine, ChatGPT model tracks the conversation to create more useful outputs. In this tutorial, I will go through every single detail on how to get started with the newest OpenAI ChatGPT API in Python.

📑 Python Script Used In The Video: https://wp.me/payCAw-1lw

💻 Build Your Own ChatGPT Desktop App: https://youtu.be/snkys9zXyD0

✉ Signup for an OpenAI account: https://openai.com/

📑 OpenAI GPT Model Pricing: https://openai.com/pricing

📑 openai.ChatCompletion reference: https://platform.openai.com/docs/guides/chat

📑 OpenAI ChatGPT Model (gpt3.5 turbo) Info : https://platform.openai.com/docs/models/gpt-3-5

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00:00 - Intro to OpenAI gpt 3.5 turbo model
00:34 - OpenAI GPT-3.5 Pricing difference vs GPT-3.0
01:51 - OpenAI GPT 3.5 models summary
03:03 - Sign up for an OpenAI account
03:29 - Create an OpenAI API Key
03:47 - Create Python script
04:15 - Install OpenAI Python package
04:27 - open.ChatCompletion library usage
11:00 - Track ChatGPT conversation
15:03 - Make the Python script runs like ChatGPT

#chatgpt #chatgptapi #openai #ai #python #gpt

Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
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Дилемма заключённого — известная задача в теории игр. Самая выигрышная стратегия в ней — предательство. Но что если эту дилемму нужно решать многократно? Скажем, каждый день вам нужно оставлять свой контейнер с едой в офисном холодильнике. Стоит ли покушаться на чужой йогурт? Или дождаться, пока кто-то оставит вас без колбасы, и уже тогда принимать меры? Проблема нешуточная. А как её решать, рассказывает Дерек Маллер в новом видео Veritasium.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Макар Светлый
Озвучка: Дмитрий Чепусов, Алексей Никитин, Дмитрий Машкович
Монтаж звука: Андрей Фокин
Монтаж видео: Юрий Хомяков
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, Pavel Parpura, Mykola Korniichuk, Eugene Tsaplin, Oleg Zingilevskiy, Vitaliy Vachynyuk, Мikhail Samin, Anton Bolotov, Anatoly Zapadinsky, Все будет хорошо, Katoto Chan, Ihar Marozau, Alexander Goida, Irina Shakhverdova, Aleksei Shabalin, Valeriy Dubrava, Kirill Zaslavskii, Victoria Kleban, Victor Cazacov, VEG, Alex Kulakov, Leonid Steinberg, mifon bejenari, Vladimir Sharich, Maxim Korotkov, Anna Ostrovskaya, Dmitry Chechulin, Lexx, Rashn, Zhekka_research, simens_green, yuri popoff, Виктор Харламов, Постный Оладий, Шурик Самара, Alexander Kulikov, Alien, Artem Sobolenkov, Being of Whiteout, Ilia Mogilner, Kirill Markov, Maxim Titov, SodayaSodochka, Timophey Popov, andruche, asdadasa, dv0, pervprog, Арс Ник, Артем Сиваченко, Глеб Кочергин, Дмитрий Казанов, Екатерина Боноева, Кожаный Гусь, Никита Омельницкий, Тимур Абдуллин, Тот самый Виктор, Шамсудин Насаев.

#vertdider #veritasium

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/@veritasium
Источник: https://www.youtube.com/watch?v=mScpHTIi-kM

Помощь проекту: https://www.patreon.com/VertDider

Большинство людей плохо представляют себе силу атмосферного давления. В этом видео Veritasium заглянул в свой родной Сиднейский университет, чтобы провести эксперимент, который продемонстрирует, что мы на самом деле находимся под толщей огромного воздушного океана. Видео снято в 2011 году.

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

Mikhail Stolpovskiy, Maria Zvereva, Pavel Dunaev, Nick Denizhenko, Oleksii Leonov, Yegor Barakovskiy, Татьяна, Мартынов Павел, Kirill Seleznev, Dmitrii komarevtsev, toshego, Sergey Skrypnyk, Illarion Petrov, Andrew Dzhur, Евгений Колмаков, Andrey Chizh, Linar Khusnullin, Дмитрий Глазнев, Ilya, smiler, Антон Малинин, Roman Inflianskas, Aleksandr, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Евгений Сельменев, Ярослав Атрохов, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Katoto Chan, Anton Makiievskyi, angel, Сергей Назаров, Михаил Кузнецов, Lev Zaplatin, Ivan Egorov, Exordin, Victor Cazacov, Светлана Забегаева, Анастасия Ермилова, Ivan Bondarenko, Alexander Kulikov, KIM TKHE SIK, Kirill Zaslavskii, Полина Маркина, Tray Hard, Valeriy Dubrava, Евгений, Сергей Андреев, Leonid Korobov, mol9ko, Taleh Zaliyev, Аддон, Irina Slavgorodskaya, Arthur Skobara, 666.13FM, Andrew Rumyantsev, Marianna Sumina, Мария Баранова, Maxim Arkushin, Дмитрий, Oleg Kovalov, Vadim Cpp, Roman Rogachev, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, Natalie Kulinicheva, Marat Bakirov, Ирина Завтонова, Anastasia, Andrey Istomin, Ирина Анатольевна Чулкова, Pavel Golovin, Vadim Velicodnii, Юрий Медведев, Анна Троссман, Serj Skidan, L Marchenko, Nadia Kilgishova, Andrey Rusanov, Inna Klymenko, Dmitriy Lashtaba, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ihar Marozau, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Otto Kester, Claudia Barzaeva, Lirin Alex, Konstantin Pesyakov, Viktoria, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Olga Shistareva, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky

#VertDider #Veritasium

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/p3b9pK-O6cE

Learn the essentials of working with AI in the cloud from @ExamProChannel. This comprehensive course covers the complete generative AI development lifecycle - from fundamental concepts through practical implementation, including prompt engineering, development tools, deployment, optimization, and advanced topics like RAGs and AI agents.

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In this video I walk through a general text generator based on a character level RNN coded with an LSTM in Pytorch in the application of generating new baby names.

People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9

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Chat GPT 3 is an AI language Train Model that builds dialogue systems for customer engagement. It is the world’s first and only easy-to-use platform for training and deploying conversational AI systems.
#chatgpt #openai #chatgpt 3 #aicommunity #ai #newtechnologyideas #newtech

OpenAI announced GPT-4 yesterday and it's a beast. It can now handle 25K words of context, allowing it to provide more relevant code solutions for programmers.

#tech #chatgpt #thecodereport

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🔗 Resources

GPT-4 Overview https://openai.com/product/gpt-4
GPT-4 Paper https://paperswithcode.com/pap....er/gpt-4-technical-r
ChatGPT API Tutorial https://youtu.be/e2uvhJ7r1UQ
5 AI Business Ideas https://youtu.be/Aa83vRghue4


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Data analytics has been rapidly growing, with companies looking to generate insights and drive their business with the help of data. In this Data Analytics Full Course video, you will learn what data analytics is, why data analytics is necessary, the types of data analytics, and the various data analytics applications. You will then understand a case study and analyze data using Python and R. In addition, we will see the top 10 data analysis tools and understand the difference between a data scientist and a data analyst. Finally, we’ll see the top interview questions to help you crack a data analyst interview.

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

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This Data Analyst Master’s Program in collaboration with IBM, will make you an expert in data analytics. In this Data Analytics course, you'll learn analytics tools and techniques, how to work with SQL databases, the languages of R and Python, how to create data visualizations, and how to apply statistics and predictive analytics in a business environment.

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00:02:54 What is DevOps?
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00:19:02 Git Installation
00:24:39 What is Git?
00:43:00 Git Commands
01:05:41 About Maven
01:48:50 Maven Interview Questions
02:28:12 Gradle Installation
02:33:47 What is Gradle?
02:54:11 Gradle Project
03:02:59 Selenium Installation on Windows
03:21:23 Selenium Tutorial
04:21:17 Docker Installation on Windows
04:25:56 Docker Installation on Ubuntu
04:32:53 Docker Tutorial
05:01:50 Chef Installation
05:15:28 All About Chef
05:28:59 Ansible Installation
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06:09:35 Puppet Installation
06:20:41 Puppet Tutorial
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This course will teach you to build real-world apps with React Router 6. Click here to get to the interactive version 👉 https://scrimba.com/links/react-router-6-course

Throughout the course, you’ll be building an app called “VanLife” – an Airbnb-style web app dedicated to renting out travel vans for your next big road trip!

As you build “VanLife”, you will learn all the important parts of React Router, such as layout and index routes, nested routes, filtering results with search parameters, protecting routes for authenticated users, and more. You will also learn about the new Remix-inspired data router APIs, including Loaders and Actions.

This course was created by Bob Ziroll, Scrimba’s Head of Education.
🔗 Bob on Twitter here: https://twitter.com/bobziroll
🔗 Scrimba on YouTube: https://www.youtube.com/c/Scrimba

⭐️ Get the code ⭐️
🔗 Scrimba course: https://scrimba.com/links/react-router-6-course
🔗 GitHub repo: https://scrimba.com/links/reac....t-router-course-gith

💫 Links mentioned in course:
🔗 Scrimba’s Learn React Course - https://scrimba.com/learn/learnreact
🔗 VanLife Figma Design - https://scrimba.com/links/figma-vanlife
🔗 Firebase - https://scrimba.com/links/firebase-homepage
🔗 Firestore Docs, get all docs in collection - https://scrimba.com/links/fire....store-docs-get-all-d
🔗 Netlify - https://scrimba.com/links/netlify-home-page
🔗 GitHub Desktop - https://desktop.github.com/
🔗 Mirage JS - https://miragejs.com/

0:00 1: Introduction to React Router 6
4:56 2: Multi-page vs single-page apps
10:12 Extra: Local Development & GitHub Repo
12:25 3: React Router Setup & BrowserRouter
15:40 4: Routes
18:23 5: BrowserRouter & Routes Challenge
19:32 6: Route, Path, & Element
23:48 7: Quick Re-org
24:53 8: Link
28:55 9: VanLife project bootstrapping
37:01 10: Initial Deploy to Netlify
48:47 11: Mirage JS Server
50:41 12: Challenge: Vans Page - Part 1
1:02:09 14: Route Params
1:25:09 19: Nested Routes Intro
1:34:04 20: Fixing the Navbar with a Layout Route
1:46:45 22: Bootstrap the Host pages
1:50:45 23: Nesting the /host routes
1:54:34 24: Creating the Host Layout
2:01:04 25: Relative Paths
2:05:32 26: Index Routes
2:09:24 27: To nest or not to nest?
2:14:34 28: Nested Routes Quiz
2:19:26 29: Add Footer
2:22:47 30: NavLink
2:30:03 31: Active Link Styling with NavLink
2:39:14 33: Adding Host Vans Routes
2:44:28 34: Optimal Side Quest
2:47:49 35: Building the Host Van Detail page
2:56:47 36: Relative Links
3:03:51 37: Back to all vans
3:09:08 38: Add /host/vans/:id Nested Routes
3:17:17 39: Add the Final Navbar
3:23:53 40: Outlet Context
3:29:27 41: Update deployed version on Netlify
3:32:45 42: Search Params Intro
3:40:04 43: useSearchParams
3:48:55 45: Filter the array w/ the search param
3:55:47 47: Using Links to add search params
4:01:57 49: Using the search params setter function
4:08:05 51: Caveats to setting params
4:09:38 52: Merging search params
4:21:13 54: Challenge: Conditional rendering practice
4:25:56 55: Fix remaining absolute paths
4:27:50 56: Back to all vans
4:30:05 57: Link state
4:36:37 58: useLocation
4:47:31 60: 404 Page
4:53:22 61: Happy Path vs Sad Path
4:56:01 62: Update to our fetching code
4:59:02 63: Coding the Sad Path
5:07:37 65: Loaders intro
5:12:03 66: createBrowserRouter
5:18:13 67: Setting up the data router
5:21:00 68: Loader function
5:25:17 70: useLoaderData
5:29:52 72: Use the loader data instead of the useEffect
5:33:51 73: Loaders Quiz
5:37:06 74: Handling errors
5:39:49 75: Add errorElement to vans route
5:42:40 76: useRouteError
5:49:06 77: Initial Login Form
5:51:31 78: Importing image assets in Vite
5:54:22 79: Protected Routes
6:18:28 85: Parallel Loaders Demo
6:22:02 86: Challenge - Protected Routes
6:43:51 91: Send login message prompt to login page
6:46:56 92: Consume message
6:54:37 93: Pass message to Login page
6:58:26 94: Hot Take: Forms in React are bad
7:00:58 95: Setting up for auth
7:13:57 97: useNavigate()
7:17:44 98: React Router Form Component
7:20:41 99: Setting up the action function
7:25:13 100: Add form and action to VanLife
7:27:31 101: Action function
7:32:39 103: Get form data in VanLife
7:34:22 104: Use data in action to log in
7:36:57 105: Better (but still fake) auth
7:44:08 107: Form replace
7:49:23 108: useActionData
7:53:50 109: Action error handling
8:00:00 111: useNavigation()
8:08:07 113: Get previous route pathname
8:15:05 114: redirectTo
8:30:37 117: Deferring data
8:33:35 118: Promises and defer()
8:39:19 119: defer getVans()
8:41:04 120: Await component
8:55:28 123: React Suspense
9:00:27 124: Suspense in VanLife
9:03:51 125: Putting it all together - Defer, Await, Suspense in HostVans
9:08:31 126: errorElements in remaining van loading pages
9:11:55 127: Placeholders are gone!
9:13:57 128: Cloud Firestore
9:23:25 130: Collection reference and getVans() function
9:30:54 131: Create getVan() function
9:35:42 132: Refactor getHostVans function
9:39:29 133: Final loose ends