Ms. Coffee Bean explains how a huge collaboration of researchers managed to extract training data from large language models like GPT-2. Why is this even possible and what does this mean for even larger models like GPT-3?
Discussed paper:
" Extracting Training Data from Large Language Models" explained by Carlini et al. 2020.

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🔥 Optionally, pay us a coffee to boost our Coffee Bean production! ☕
Patreon: https://www.patreon.com/AICoffeeBreak
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📺 GPT-3 – what you need to know: https://youtu.be/5fqxPOaaqi0

Outline:
* 00:00 Large Language Models
* 01:55 GPT-2
* 02:33 Why is it possible?
* 03:38 k-eidetic memorization
* 04:21 How does the attack work?
* 05:49 How bad is it?
* 08:12 What to do?

📄 Paper explained: Carlini, N., Tramer, F., Wallace, E., Jagielski, M., Herbert-Voss, A., Lee, K., ... & Oprea, A. (2020). Extracting Training Data from Large Language Models. arXiv preprint arXiv:2012.07805. https://arxiv.org/pdf/2012.07805.pdf

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#AICoffeeBreak #MsCoffeeBean #GPT #MachineLearning #AI #research

The Scrapy Beginners Course will teach you everything you need to learn to start scraping websites at scale using Python Scrapy.

The course covers:
- Creating your first Scrapy spider
- Crawling through websites & scraping data from each page
- Cleaning data with Items & Item Pipelines
- Saving data to CSV files, MySQL & Postgres databases
- Using fake user-agents & headers to avoid getting blocked
- Using proxies to scale up your web scraping without getting banned
- Deploying your scraper to the cloud & scheduling it to run periodically

✏️ Course created by Joe Kearney.

⭐️ Resources ⭐️
Course Resources
- Scrapy Docs: https://docs.scrapy.org/en/latest/
- Course Guide: https://thepythonscrapyplayboo....k.com/freecodecamp-b
- Course Github: https://github.com/orgs/python....-scrapy-playbook/rep
- The Python Scrapy Playbook: https://thepythonscrapyplaybook.com/

Cloud Environments
- Scrapyd: https://github.com/scrapy/scrapyd
- ScrapydWeb: https://github.com/my8100/scrapydweb
- ScrapeOps Monitor & Scheduler: https://scrapeops.io/monitoring-scheduling/
- Scrapy Cloud: https://www.zyte.com/scrapy-cloud/

Proxies
- Proxy Plan Comparison Tool: https://scrapeops.io/proxy-pro....viders/comparison/fr
- ScrapeOps Proxy Aggregator: https://scrapeops.io/proxy-api-aggregator/
- Smartproxy: https://smartproxy.com/deals/proxyservers/ips

⭐️ Contents ⭐️
⌨️ (0:00:00) Part 1 - Scrapy & Course Introduction
⌨️ (0:08:22) Part 2 - Setup Virtual Env & Scrapy
⌨️ (0:16:28) Part 3 - Creating a Scrapy Project
⌨️ (0:28:17) Part 4 - Build your First Scrapy Spider
⌨️ (0:55:09) Part 5 - Build Discovery & Extraction Spider
⌨️ (1:20:11) Part 6 - Cleaning Data with Item Pipelines
⌨️ (1:44:19) Part 7 - Saving Data to Files & Databases
⌨️ (2:04:33) Part 8 - Fake User-Agents & Browser Headers
⌨️ (2:40:12) Part 9 - Rotating Proxies & Proxy APIs
⌨️ (3:18:12) Part 10 - Run Spiders in Cloud with Scrapyd
⌨️ (4:03:46) Part 11 - Run Spiders in Cloud with ScrapeOps
⌨️ (4:20:04) Part 12 - Run Spiders in Cloud with Scrapy Cloud
⌨️ (4:30:36) Part 13 - Conclusion & Next Steps

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

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Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news

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Will robots suddenly fight back after years of being used?

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Hiya!!!

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

Правоохранительные органы США теперь умеют искать подозреваемых по образцам генетического материала с места преступления, даже если информации о найденной ДНК нет ни в одной базе. Если какой-нибудь дальний родственник сделал генетический тест и разрешил доступ к исходным данным — этого будет достаточно. Таким образом можно раскрывать страшные преступления, но сам метод вызывает серьёзные опасения у сторонников неприкосновенности личных данных. В том, где проводить границу между безопасностью и приватностью, пытается разобраться Дерек Маллер в новом видео.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Гор Гиноян
Озвучка: Дмитрий Чепусов, Юрий Катарманов, Алексей Никитин, Дмитрий Машкович, Алёна Соколова
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, 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

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/KT18KJouHWg

La gente ha sido testigo de las supernovas desde hace milenios, pero ¿qué tipo de amenaza posan para el planeta Tierra? Este video es patrocinado por Brilliant. Puedes comenzar gratis, o las primeras 200 personas en suscribirse vía https://brilliant.org/veritasium obtendrán un 20% de descuento.

Agradecemos enormemente al Prof. Hans-Thomas Janka por ayudarnos con la física de una supernova y GRBs. También al Prof. Brian Thomas por toda su ayuda con los efectos terrestres de las supernovas y GRBs. Este video no hubiera sido posible sin ninguno de ellos. Además al Dr. Luke Barnes por su ayuda inicial en la investigación de la literatura relacionada.

El dato sobre la bomba de hidrogeno vs la supernova fue sacado de este gran artículo por xkcd/Randall Munroe - https://what-if.xkcd.com/73/ (based on the calculation by Andrew Karam, 2002)

El video de la burbúja cósmica de: https://www.cfa.harvard.edu/ne....ws/1000-light-year-w

Referencias: Melott, A. et al. (2019). Hypothesis: Muon radiation dose and marine megafaunal extinction at the End-Pliocene supernova. Astrobiology, 19(6), 825-830. – https://ve42.co/Melott1

Thomas, B. C. et al. (2016). Terrestrial effects of nearby supernovae in the early Pleistocene. The Astrophysical Journal Letters, 826(1), L3 – https://ve42.co/Thomas1

Melott, A. L., & Thomas, B. C. (2019). From cosmic explosions to terrestrial fires?. The Journal of Geology, 127(4), 475-481. – https://ve42.co/Melott2

Fields, B. et al. (2019). Near-Earth supernova explosions: Evidence, implications, and opportunities. arXiv preprint arXiv:1903.04589. – https://ve42.co/Fields1

Thomas, B. C., Atri, D., & Melott, A. L. (2021). Gamma-ray bursts: not so much deadlier than we thought. Monthly Notices of the Royal Astronomical Society, 500(2), 1970-1973. – https://ve42.co/Thomas2

Melott, A. et al. (2004). Did a gamma-ray burst initiate the late Ordovician mass extinction?. International Journal of Astrobiology, 3(1), 55-61. – https://ve42.co/Melott3

Firestone, R. B. (2014). Observation of 23 supernovae that exploded less than 300 pc from Earth during the past 300 kyr. The Astrophysical Journal, 789(1), 29. – https://ve42.co/firestone1

Janka, H. T. (2017). Neutrino emission from supernovae. arXiv preprint arXiv:1702.08713. – https://ve42.co/Janka1

Janka, H. T., & Hillebrandt, W. (1989). Neutrino emission from type II supernovae-an analysis of the spectra. Astronomy and astrophysics, 224, 49-56. – https://ve42.co/Janka2

Janka, H. T. (2017). Neutrino-driven explosions. arXiv preprint arXiv:1702.08825. – https://ve42.co/Janka3

Karam, P. A. (2002). Gamma and neutrino radiation dose from gamma ray bursts and nearby supernovae. Health physics, 82(4), 491-499. – https://ve42.co/Karam1

Melott, A. L., Thomas, et al.. (2017). A supernova at 50 pc: effects on the Earth's atmosphere and biota. The Astrophysical Journal, 840(2), 105. – https://ve42.co/Melott4

Ludwig, P., et al. (2016). Time-resolved 2-million-year-old supernova activity discovered in Earth’s microfossil record. Proceedings of the National Academy of Sciences, 113(33), 9232-9237. – https://ve42.co/Ludwig1

Gritschneder, et al. (2011). The supernova triggered formation and enrichment of our solar system. The Astrophysical Journal, 745(1), 22. – https://ve42.co/Gritschneder1

Motizuki, Y., Takahashi, et al. (2009). An Antarctic ice core recording both supernovae and solar cycles. arXiv preprint arXiv:0902.3446. – https://ve42.co/Motizuki

Zucker, C. et al. (2022). Star formation near the Sun is driven by expansion of the Local Bubble. Nature, 601(7893), 334-337. – https://ve42.co/Zucker1

Hirata, K. et al.(1987). Observation of a neutrino burst from the supernova SN1987A. – https://ve42.co/Hirata1

Hayes, L. A., & Gallagher, P. T. (2022). A Significant Sudden Ionospheric Disturbance Associated with Gamma-Ray Burst GRB 221009A. Research Notes of the AAS, 6(10), 222.

Video original en: https://www.youtube.com/watch?v=evUfG3lrk5U
Agradecimiento especial a nuestros mecenas en Patreon:
James Sanger, Louis Lebbos, Elliot Miller, Brian Busbee, Jerome Barakos M.D., Amadeo Bee, TTST, Balkrishna Heroor, Chris LaClair, John H. Austin, Jr., OnlineBookClub.org, Matthew Gonzalez, Eric Sexton, John Kiehl, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Mike Schneider, John Bauer, jim buckmaster, Juan Benet, Sunil Nagaraj, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi

Escrito por Petr Lebedev & Derek Muller
Editado por Fabio Albertelli
Animado por Fabio Albertelli, Jakub Misiek, Alex Drakoulis, Ivy Tello, Mike Radjabov, and Charlie Davies
Filmado por Derek Muller
Investigación adicional por Kovi Rose & Katie Barnshaw
Videos/fotos provistos por NASA, ESA, Pond5, and Getty Images
Producido por Derek Muller, Petr Lebedev, and Emily Zhang

🔥 Data Science Master Program: https://www.edureka.co/masters....-program/data-scient
This Machine Learning Algorithms Tutorial shall teach you what machine learning is, and the various ways in which you can use machine learning to solve a problem! Towards the end, you will learn how to prepare a data-set for model creation and validation and how you can create a model using any machine learning algorithm!

Check our complete Data Science playlist here: https://bit.ly/2KEEFdf
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How it Works?

1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project
2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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About the Course

Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities.

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Why Learn Data Science?

Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework.

After the completion of the Data Science course, you should be able to:
1. Gain insight into the 'Roles' played by a Data Scientist
2. Analyse Big Data using R, Hadoop and Machine Learning
3. Understand the Data Analysis Life Cycle
4. Work with different data formats like XML, CSV and SAS, SPSS, etc.
5. Learn tools and techniques for data transformation
6. Understand Data Mining techniques and their implementation
7. Analyse data using machine learning algorithms in R
8. Work with Hadoop Mappers and Reducers to analyze data
9. Implement various Machine Learning Algorithms in Apache Mahout
10. Gain insight into data visualization and optimization techniques
11. Explore the parallel processing feature in R

- - - - - - - - - - - - - -

Who should go for this course?

The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course:

1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics
4. Business Analysts who want to understand Machine Learning (ML) Techniques
5. Information Architects who want to gain expertise in Predictive Analytics
6. 'R' professionals who want to captivate and analyze Big Data
7. Hadoop Professionals who want to learn R and ML techniques
8. Analysts wanting to understand Data Science methodologies

For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free).

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Customer Reviews:

Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. "

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Chat GPT for Programming by simplilearn is dedicated for aspiring software developers and web developers to understand the fundamentals of Programming Using ChatGPT. This ChatGPT For Beginners by simplilearn, is a roadmap for creating a compelling YouTube description for a channel focused on programming with ChatGPT can enhance your visibility and engagement.

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⏩ Check out More AI Videos By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

➡️ About Post Graduate Program In AI And Machine Learning

This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
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Want to learn more about Agentic AI + Data? Register here → https://ibm.biz/BdeGLe

Learn more about Agentic AI + Data here → https://ibm.biz/BdeGLe

What’s the difference between generative AI and agentic AI? 🤔 Martin Keen explains how generative AI powers content creation and image generation, while agentic AI uses LLMs and chain of thought reasoning for proactive tasks like personal shopping and conference planning. Discover the future of intelligent AI collaboration! 🚀

AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/BdndTz

#generativeai #agenticai #ai #llm

Cách trồng cây thủy sinh bể cá #thuysinh #aquariums

THỦY SINH NHA TRANG - THUỶ SINH MANG TÀI LỘC ĐẾN NHÀ BẠN

Thủy Sinh Nha Trang cung cấp sỉ lẻ các loại sản phẩm thủy sinh như cây thủy sinh, hồ thủy sinh, tôm cảnh, cá cảnh, tép cảnh, ốc cảnh, hồ cá thủy sinh, bể cá, phụ kiện thủy sinh, đèn thủy sinh và các thiết bị khác với giá hấp dẫn tại khu vực miền Trung. Chúng tôi chuyên về Thiết kế cảnh quan, Trang trí nội thất, Tiểu cảnh.

Phone: (+84) 0777-525-328
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With all the juicy drama this week I hope you brought popcorn 🍿

Despite being homemade, this DIY projector packs a punch! Also, the first 1000 people to use this link will get a 2 month free trial of Skillshare Premium Membership: https://skl.sh/diyperks3


If you enjoy project build guides like this, please consider supporting my work on Patreon: http://www.patreon.com/diyperks


The PDF guide is now available over on the Patreon page: http://www.patreon.com/diyperks


Here are the main components required for this build:


Aluminium: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3Daluminium%2Bsheet


Threaded rods: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3Dm6%2Bthreaded%2Brods%2B1m



LED (choose 5600k for pure white): https://store.yujiintl.com/col....lections/led-cobs/pr


OR (cheaper, but larger diameter - choose 100w) https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fitm%2F183184745144


 Heatsink: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3Dcpu%2Bheatsink%2B-laptop%2Btower


Power board: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3D250w%2BDC%2Bvoltage%2BLED%2Bconstant



Fresnel lenses: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3D7%2Bdiy%2Bfresnel%2B2


LCD panel + control board: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3DLCD%2Bmipi%2Bhdmi


4K LCD panel + control board: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3D5.5%2B3840%2B2160%2Bcuring


Large format camera lenses: https://rover.ebay.com/rover/1/711-53200-19255-0/1?ff3=4&toolid=11800&pub=5575117832&campid=5337657473&mpre=https%3A%2F%2Fwww.ebay.com%2Fsch%2Fi.html%3F_nkw%3Dlarge%2Bformat%2Blens%2B%26_sop%3D15




How to make your own front-surface mirror: https://www.youtube.com/watch?v=IaEaaeajCSI



Video on powering LEDs: https://youtu.be/Y06VHj1GvLI?t=609


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