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Machine Learning
8 Views · 3 years ago

Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

Дерек Маллер с канала Veritasium снова пристаёт к людям со странными вопросами, в этот раз по астрономии. Мы уверены, что вы с такими вопросами легко бы справились, но ролик всё равно посмотрите — обновить знания всегда полезно.

Перевод: Елена Смотрова
Редактура: Алексей Малов
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, Katoto Chan, Все будет хорошо, Anatoly Zapadinsky, Anton Bolotov, Pavel Parpura, Мikhail Samin, Vitaliy Vachynyuk, opperatius, Eugene Tsaplin, Oleg Zingilevskiy, Mykola Korniichuk, Kirill Zaslavskii, Victor Cazacov, Valeriy Dubrava, Aleksei Shabalin, Ihar Marozau, Irina Shakhverdova, Victoria Kleban, VEG, Morock_D, mifon bejenari, Vladimir Sharich, Leonid Steinberg, Maxim Korotkov, Alex Kulakov, Alexander Goida, Anna Ostrovskaya, Dmitry Chechulin, Lexx, Nikrodol, Rashn, Виктор Харламов, Постный Оладий, Alexander Kulikov, Alien, Artem Piskarev, Artem Sobolenkov, Being of Whiteout, Cyril Anonimov, Kirill Markov, Maxim Titov, SodayaSodochka, Timophey Popov, andruche, asdadasa, darthmorf s, dv0, pervprog, Арс Ник, Артем Сиваченко, Глеб Кочергин, Дмитрий Казанов, Кожаный Гусь, Никита Омельницкий, Тимур Абдуллин, Тот самый Виктор.

#vertdider #veritasium

Сайт студии: http://vertdider.tv

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/@veritasium
Источник: https://www.youtube.com/watch?v=fG8SwAFQFuU

Machine Learning
7 Views · 3 years ago

Помощь проекту: https://vertdider.tv/to-support-us/

Однажды некий беспокойных ум решил обогнать ветер на устройстве, которое движется за счёт попутного ветра и ровно в его направлении. Интернет-сообщество не поверило, что такое возможно, но через некоторое время проверить результат пытливого изобретателя отправился Дерек Маллер, автор канала Veritasium. Обогнать ветер, кажется, получилось, но некоторые считают, что BlackBird нарушает закон сохранения энергии. В новом видео посмотрим, что же там происходит и как это всё возможно.

Перевод: Алексей Малов
Редактура: Елена Смотрова
Научная Редактура: Павел Худик
Озвучка: Дмитрий Чепусов, Алексей Никитин
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

#Veritasium

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

Maria Zvereva, Pavel Dunaev, Nick Denizhenko, Oleksii Leonov, Yegor Barakovskiy, Ігор Дорохов, Mikhail Stolpovskiy, Евгений Тихонов, smiler, Антон Малинин, Roman Inflianskas, Vladimir Dementyev, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Роман Чурин, Евгений Сельменев, Alex Afalex, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Максим 'Sheridan' Горлов, Katoto Chan, Anton Makiievskyi, , Александр Зуев, 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, Aliaksandr Sheliutsin, Andrew Rumak, Andrey Istomin, Марина Малинкина, Dmitry Khlan, Yaroslav Kyrylchuk, Ирина Анатольевна Чулкова, Pavel Golovin, Vadim Velicodnii, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Nadia Kilgishova, Aiorraro, Andrey Rusanov, Inna Klymenko, Dmitriy Lashtaba, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Виталий Пастушенко, Claudia Barzaeva, Pandaben, Lirin Alex, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Olga Podolskaya, Alexey Kukushkin, F23D24, Alex Katkov, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium
Источник: https://youtu.be/jyQwgBAaBag

Generative AI
30 Views · 1 year ago

Get the guide to GAI, learn more → https://ibm.biz/BdKTbF
Learn more about the technology → https://ibm.biz/BdKTbX

Join Cedric Clyburn as he explores the differences and use cases of Retrieval Augmented Generation (RAG) and fine-tuning in enhancing large language models. This video covers the strengths, weaknesses, and common applications of both techniques, and provides insights on how to choose between them using machine learning and natural language processing principles

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://www.ibm.com/account/re....g/us-en/signup?formi

#AI #LargeLanguageModels #FineTuning #RAG #ReinforcementLearning #MachineLearning #NaturalLanguageProcessing

Generative AI
30 Views · 11 months ago

How to build your own Tiny Language Model from scratch - Luca Gilli - PyCon Italia 2025

Elevator Pitch:
Join us to discover Tiny Language Models: ultra-compact, resource-efficient AI tools that deliver impressive results. In this session, you’ll learn how to create your own model, from data preparation to training. These models combine innovation with efficiency, making AI more accessible than ever.

Learn more: https://2025.pycon.it/event/ho....w-to-build-your-own-

#MachineLearning #DeepLearning #NaturalLanguageProcessing

Generative AI
11 Views · 9 months ago

MIT How to Speak, IAP 2018
Instructor: Patrick Winston
View the complete course: https://ocw.mit.edu/how_to_speak

Patrick Winston's How to Speak talk has been an MIT tradition for over 40 years. Offered every January, the talk is intended to improve your public speaking ability in critical situations by teaching you a few heuristic rules.

0:16 Introduction
3:11 Rules of Engagement
4:15 How to Start
5:38 Four Sample Heuristics
10:17 The Tools: Time and Place
13:24 The Tools: Boards, Props, and Slides
36:30 Informing: Promise, Inspiration, How To Think
41:30 Persuading: Oral Exams, Job Talks, Getting Famous
53:06 How to Stop: Final Slide, Final Words
56:35 Final Words: Joke, Thank You, Examples

This video has been dubbed using an artificial voice via https://aloud.area120.google.com to increase accessibility.

The traditional Chinese captions courtesy of 高嘉宏. Used with permission. The captions are reviewed and edited by MIT OpenCourseWare. The simplified Chinese captions are by MIT OpenCourseWare.

License: Creative Commons BY-NC-SA
More information at https://ocw.mit.edu/terms
More courses at https://ocw.mit.edu

Generative AI
34 Views · 9 months ago

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Dive into the world of artificial intelligence with this comprehensive LLM Prompt Engineering Full Course by edureka! in collaboration with Veranda Enterprise. In this course, you'll learn how to effectively communicate with large language models like ChatGPT by mastering the art of prompt engineering. From the fundamentals of zero-shot and few-shot prompting to advanced techniques like chain-of-thought and structured prompting, this course is designed to equip you with the practical skills needed to build powerful AI-driven applications. Whether you're a developer, data scientist, or complete beginner, this full course provides real-world examples, hands-on demos, and expert tips to help you unlock the full potential of generative AI. Start your journey into prompt engineering and take your AI skills to the next level.

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Generative AI
2,243,584 Views · 4 years ago

Code on GitHub (Just look for Kaggle folder in ML):
https://github.com/aladdinpers....son/Machine-Learning

Timestamps:
0:00 - Introduction to Competition
4:08 - My Solution
6:10 - Training the small model
8:00 - Result1
8:43 - Finetuning
9:14 - Result2
10:19 - How to improve further?

Generative AI
2,033,161 Views · 4 years ago

Want to get your hands on GPT3 but cbbd waiting for access?

Need to kick off some AI powered text gen ASAP?

Want to write a love song using AI?

I got you!

In this video, you'll learn how to leverage GPT Neo, a GPT3 architecture clone, which has been trained on 2.7 BILLION parameters to generate text and code. You'll learn how to get setup and leverage the model for a whole range of use cases in just 4 lines of code!

In this video you’ll learn how to:
1. Install GPT Neo a 2.7B Parameter Language Model
2. Generate Python Code using GPT Neo
3. Generate text using GPT Neo and Hugging Face Transformers

GET THE CODE FROM THE VIDEO: https://github.com/nicknochnack/GPTNeo

Code from the previous tutorial:
https://github.com/nicknochnack/MediaPipeHandPose

Chapters:
0:00 - Start
1:15 - How it Works
2:45 - Install PyTorch and Transformers
5:08 - Setup GPT Neo Pipeline
8:08 - Generate Text from a Prompt
14:46 - Export Text to File
17:48 - Wrap Up

Oh, and don't forget to connect with me!
LinkedIn: https://bit.ly/324Epgo
Facebook: https://bit.ly/3mB1sZD
GitHub: https://bit.ly/3mDJllD
Patreon: https://bit.ly/2OCn3UW
Join the Discussion on Discord: https://bit.ly/3dQiZsV

Happy coding!
Nick

P.s. Let me know how you go and drop a comment if you need a hand!

Generative AI
4,221 Views · 3 years ago

In this tutorial, we will be building a Node.js API with MongoDB and Mongoose to track exercises. Our API will pass a series of tests, including creating a new user with a POST request to /api/users, getting a list of all users with a GET request to /api/users, adding exercises with a POST request to /api/users/:_id/exercises, and retrieving a full exercise log of any user with a GET request to /api/users/:_id/logs. Thanks for watching and have a great day!

Connect on LinkedIn: https://www.linkedin.com/in/la....ndon-schlangen-a3989

Generative AI
3,321 Views · 3 years ago

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Generative AI
3,458 Views · 3 years ago

Hello everyone! Today we well be going over how to fine tune OpenAI's Chat-GPT3 using either someone else's data set or out own. We'll first go over how to reformat your data into a Json file and then how to easily reformat it to make sure the AI accepts it and has your input data accepted. After that we'll go over how to use the model!




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