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

Набирать МИЛЛИОНЫ просмотров просто! Нужно всего лишь…
Посмотреть это видео Veritasium, где Дерек Маллер разбирается в сортах кликбейта и рассказывает на примерах своих роликов, почему и в каких случаях он не так уж вреден в умеренных количествах.

Кстати, ребята, которые в этот раз готовили перевод, впервые работали с актуальным свеженьким видео Дерека, старались и волновались. Давайте поддержим их добрым словом?

Перевод: Ольга Сюлева, Ирина Шутова
Редактура: Алексей Лоскутов
Озвучка: Дмитрий Чепусов, Алексей Никитин
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

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

Maria Zvereva, Pavel Dunaev, Oleksii Leonov, Yegor Barakovskiy, Mikhail Stolpovskiy, Illarion Petrov, Andrew Dzhur, Евгений Колмаков, Andrey Chizh, Linar Khusnullin, Дмитрий Глазнев, Кирилл Л, Anton Borkovski, Ilya, smiler, Антон Малинин, Roman Inflianskas, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Евгений Сельменев, Alex Afalex, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Katoto Chan, Anton Makiievskyi, mol9ko, Taleh Zaliyev, Аддон, Irina Slavgorodskaya, Arthur Skobara, 666.13FM, Andrew Rumyantsev, Marianna Sumina, Мария Баранова, Maxim Arkushin, Илья Соловьёв, Дмитрий, Julia, Oleg Kovalov, Vadim Cpp, Roman Rogachev, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, Лиля Малкова, Natalie Kulinicheva, Ilya Afanasyev, Marat Bakirov, Ирина Завтонова, Anastasia, Andrew Rumak, Andrey Istomin, Марина Малинкина, 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, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Otto Kester, Claudia Barzaeva, Lirin Alex, Konstantin Pesyakov, Denis Titusov, Viktoria, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Olga Shistareva, Alex Katkov, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky

#VertDider #Veritasium

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Источник: https://youtu.be/S2xHZPH5Sng

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Каждый, кому хотя бы раз приходилось сталкиваться с фунтами и унциями, наверняка задавался вопросом: почему США не перейдёт на метрическую систему?! Дерек Маллер пообщался на эту тему с одним из сотрудников Национального института стандартов и технологий. Оказалось, ситуация странная, и, похоже, ваше возмущение вполне уместно.

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Озвучка: Вадим Казанцев, Сергей Васильев
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Эльдар Нургалиев

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

Nikolay Verhovsky, Nick Denizhenko, Oleksii , Mikhail Stolpovskiy, Ігор Дорохов, Кирилл Басалык, Boris Bendikov, Dina vysotskaya, Sergei W, Михаил Панькин, Hackee , Felix , Pavel Parpura, Yevhen , Kosoy , Anton Bolotov, Максим Sheridan' Горлов, Anton Makiievskyi, Vladimir Grachev, Denis Titusov, Spartak Kagramanyan, Dmitriy Omelyansky, Konstantin Pesyakov, Olga Shistareva, Alex Katkov, Dmitrii Tretiakov, Serj Kravchuk, Alexander Zimin, Евгений Миф, Alexey Kukushkin, Пугачёв Пётр, Viktoria , Kamerton_440 , Pandaben , Oleg Streltsov, Alexandr Globov, space monkey, Vladimir Goshev, Vladyslav Sokolenko, Елизавета , Pavel D, Ivan Iakimov, Иван Дьяченко, Karl Soveren, Claudia Barzaeva, sepeca , Olga Podolskaya, Антон Шатаев, Dushes , Aleksei Masliukov, Valeria Volodina, Vladimir Gavriushov, Maria Burtseva, Aleksey Sazonov, Irina Shakhverdova, Evgeny Vrublevsky, Виталий Пастушенко, Katya Prokopchuk, Lirin Alex, Alterien

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Источник: https://youtu.be/SmSJXC6_qQ8

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This video by Simplilearn is based on SQL Tutorial For Beginners. This SQL Full Course 2023 by Simplilearn is designed and curated in collaboration with real-time industry experts with Data analytics knowledge and expertise. PL/SQL is a procedural language developed especially to enhance the caliber of SQL statements without altering the original SQL syntax. SQL program units are compiled by the Oracle Database server and stored inside the database.

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0:00:00 SQL Tutorial For Beginners
0:00:25 Introduction to SQL
0:03:32 What is SQL Tutorial?
0:15.33 What is DBMS?
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3:01:12 SQL Delete Statement tutorial
3:10:21 What is SQL Join?
3:51:37 What are Keys in SQL?
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4:21:12 What are Scalar Functions?
4:37:10 SQL Group by and Order by
4:57:08 How to use Where Clause in SQL?
5:01:24 SQL Where vs Having Clause
5:21:15 What are Subqueries?
5:31:27 How to Create a user defined Function in SQL?
5:42:51 What is Commit and Rollback in SQL?
5:58:35 SQL Like Clause Tutorial
6:11:52 How to find Nth highest Salary?
6:25:58 WebSQL Tutorial
6:41:00 Cast and Convert Function in SQL
6:57:21 What is View In SQL?
7:17:03 SQL Interview Questions for Beginners

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In this video on large language models, we’ll take a look at Large Language Models (LLMs) and understand what they are all about. First, we’ll explain what LLMs are and why they’re becoming so important in the world of technology. You’ll learn what these models do and how they’re used in areas like healthcare, finance, and customer service. We’ll also talk about how large language models are trained. These models use huge amounts of data to learn and create human-like text. We’ll break down how they work, from understanding language to predicting what comes next in a sentence.
Lastly, we’ll explore where LLMs are used today, such as in chatbots, content creation, and translations. These models are helping businesses work smarter and faster.

00:00 Introduction to LLMs
02:17 What are large language models?
03:22 How LLMs are trained?
05:05 How LLMsWork?
05:48 Applications Of LLMs

What is a large language model?
A large language model (LLM) is a type of artificial intelligence (AI) program that can recognize and generate text, among other tasks. LLMs are trained on huge sets of data — hence the name "large." LLMs are built on machine learning: specifically, a type of neural network called a transformer model.

Is ChatGPT a large language model?
The reason is that Large Language Models like ChatGPT are actually trained in phases. Phases of LLM training: (1) Pre-Training, (2) Instruction Fine-Tuning, (3) Reinforcement from Human Feedback (RLHF).

What are LLM examples?
For example, LLMs could be used to create personalized education or healthcare plans, leading to better patient and student outcomes. LLMs can be used to help businesses and governments make better decisions by analyzing large amounts of data and generating insights.

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MIT 15.773 Hands-On Deep Learning Spring 2024
Instructor: Rama Ramakrishnan
View the complete course: https://ocw.mit.edu/courses/15....-773-hands-on-deep-l
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

Continues discussion of natural language processing with a focus on embeddings, including stand-alone and contextual embeddings.

License: Creative Commons BY-NC-SAMore information at https://ocw.mit.edu/termsMore courses at https://ocw.mit.eduSupport OCW at http://ow.ly/a1If50zVRlQ

We encourage constructive comments and discussion on OCW’s YouTube and other social media channels. Personal attacks, hate speech, trolling, and inappropriate comments are not allowed and may be removed. More details at https://ocw.mit.edu/comments.

In an effort to spread knowledge and promote life-long learning, Stanford University has put extensive efforts into offering free online courses available to anyone, anywhere.

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Reviewing Lambda and Razer's Tensorbook, a laptop aimed at deep learning, with 16GB of VRAM (GPU memory), 64GB of RAM, 2TB of NVMe storage and an 8-core intel i7 11800H CPU.
https://lambdalabs.com/deep-le....arning/laptops/tenso

Neural Networks from Scratch book: https://nnfs.io
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