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

Леонардо, то ли просто дрон с ногами, то ли не просто, умеет ходить по канату и кататься на скейтборде задом наперед, а его усовершенствованные потомки, возможно, когда-нибудь полетят в космос. По крайней мере, на это надеются его создатели. Дерек Маллер отправился посмотреть на Лео, посоревновался с ним и показал, в каких условиях его тестируют. Как думаете, у этого чуда техники большое будущее?

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

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, Mikhail Stolpovskiy, Kirill Seleznev, Dmitrii komarevtsev, toshego, Sergey Skrypnyk, 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, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Katoto Chan, Anton Makiievskyi, Ivan Bondarenko, Kristopher Nolan, Alexander Kulikov, KIM TKHE SIK, Полина Маркина, Евгений, Сергей Андреев, Leonid Korobov, mol9ko, 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, Лиля Малкова, Natalie Kulinicheva, Marat Bakirov, Ирина Завтонова, Anastasia, Andrey Istomin, Ирина Анатольевна Чулкова, Pavel Golovin, Vadim Velicodnii, 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, Alex Katkov, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky, angel

#VertDider #Veritasium

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/H1_OpWiyijU

Shortform link:
https://shortform.com/artem

In this video we will talk about backpropagation – an algorithm powering the entire field of machine learning and try to derive it from first principles.

OUTLINE:
00:00 Introduction
01:28 Historical background
02:50 Curve Fitting problem
06:26 Random vs guided adjustments
09:43 Derivatives
14:34 Gradient Descent
16:23 Higher dimensions
21:36 Chain Rule Intuition
27:01 Computational Graph and Autodiff
36:24 Summary
38:16 Shortform
39:20 Outro

USEFUL RESOURCES:
Andrej Karpathy's playlist: https://youtube.com/playlist?list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ&si=zBUZW5kufVPLVy9E

Jürgen Schmidhuber's blog on the history of backprop:
https://people.idsia.ch/~juerg....en/who-invented-back


CREDITS:
Icons by https://www.freepik.com/

Get hands on RAG training in watsonx.ai→ https://ibm.biz/BdK6UZ
Learn about the technology → https://ibm.biz/BdMsRT

Large language models usually give great answers, but because they're limited to the training data used to create the model. Over time they can become incomplete--or worse, generate answers that are just plain wrong. One way of improving the LLM results is called "retrieval-augmented generation" or RAG. In this video, IBM Senior Research Scientist Marina Danilevsky explains the LLM/RAG framework and how this combination delivers two big advantages, namely: the model gets the most up-to-date and trustworthy facts, and you can see where the model got its info, lending more credibility to what it generates.

Get weekly AI, cloud, security and sustainability industry news, events and insights. → https://ibm.biz/BdK6UY

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

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

🔥 Prompt Engineering with LLM Course: https://www.edureka.co/prompt-....engineering-generati
🔥Post Graduate Program in Generative AI and ML: https://www.edureka.co/executi....ve-programs/pgp-gene
🔥Generative AI Course: Masters Program: https://www.edureka.co/masters....-program/generative-
🔥Integrated MS+PGP Program in Data Science & AI:https://www.edureka.co/dual-ce....rtification-programs

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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