🔥Post Graduate Program In Full Stack Web Development: https://www.simplilearn.com/pgp-full-stack-web-development-certification-training-course?utm_campaign=SoftDevCourse27March2023&utm_medium=DescriptionFirstFold&utm_source=youtube

🔥Caltech Coding Bootcamp (US Only): https://www.simplilearn.com/coding-bootcamp?utm_campaign=SoftDevCourse27March2023&utm_medium=DescriptionFirstFold&utm_source=youtube

This software development course is a series of live sessions where we will understand in-depth concepts of Data Structures and Algorithms in Data Structures, C++, Core Java, Advance Java, Python, and JavaScript.

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

⏩ Check out our Data Structures training videos playlist: https://www.youtube.com/watch?v=27PdRL89A9U&list=PLEiEAq2VkUUJMxIegQ1ge1tcGskjdiwGP

#SoftwareDevelopmentFullCourse #BecomeSoftwareDeveloper #DataStructuresFullCourse #DataStrcuturesFullTutorial #DataStrcuturesCompleteCourse #DataStrcutureExplained #DataStrcuturesWithExamples #DataStrcutures #DataStructureTutorial #DataStructureAndAlgorithmsTutorial #DataStrcutures #Simplilearn

Introduction to Data Structures?
A data structure is a collection of data pieces that provides an efficient method for storing and organizing data in a computer so that it may be used effectively. Arrays, Linked Lists, Stacks, Queues, and other Data Structures are examples. Data Structures are employed in practically every element of computer science, including operating systems, compiler design, artificial intelligence, graphics, and many more applications.

What Is a Data Structure?
The short answer is: a data structure is a specific means of organizing data in a system to access and use. The long answer is a data structure is a blend of data organization, management, retrieval, and storage, brought together into one format that allows efficient access and modification. It collects data values, the relationships they share, and the applicable functions or operations.

Why Is Data Structure Important?
The digital world processes an increasing amount of data every year. According to Forbes, there are 2.5 quintillion bytes of data generated daily. The world created over 90 percent of the existing data in 2018 in the previous two years! The Internet of Things (IoT) is responsible for a significant part of this data explosion. Data structures are necessary to manage the massive amounts of generated data and a critical factor in boosting algorithm efficiency. Finally, since nearly all software applications use data structures and algorithms, your education path needs to include learning data structure and algorithms if you want a career as a data scientist or programmer. Interviewers want qualified candidates who understand how to use data structures and algorithms, so the more you know about the concepts, the more comfortably and confidently you will answer data structure interview questions.

Learn more about Data Structures: https://www.simplilearn.com/data-structures-and-algorithms-article?utm_campaign=SoftDevCourseOct11&utm_medium=Description&utm_source=youtube

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This Random Forest Algorithm tutorial will explain how the Random Forest algorithm works. By the end of this video, you will be able to understand what is Machine Learning, what is a Classification problem, applications of Random Forest, why we need Random Forest, how it works with simple examples, and how to implement a Random Forest algorithm in Machine Learning. This video is a part of the Machine Learning with Python Series.

Below are the topics covered in this Random Forest Algorithm tutorial:
00:00 - 02:08 Applications of Random Forest Algorithm
02:08 - 02:59 Agenda
02:59 - 04:07 Classification Algorithms
04:07 - 05:36 Why Random Forest?
05:36 - 06:40 What is Random Forest Algorithm?
06:40 - 11:01 What is a Decision Tree?
11:01 - 14:18 How does the Decision Tree algorithm work?
14:18 - 17:27 How does the Random Forest algorithm work?
17:27 - 45:34 Use Case - IRIS Flower Analysis using Python

Dataset Link - https://drive.google.com/drive..../folders/1MQ5Nnhj3gs


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#RandomForestAlgorithm #MachineLearningAlgorithm #DataScience #SimplilearnMachineLearning #MachineLearningCourse #Simplilearn

What is Random Forest Algorithm?
The random forest algorithm is a supervised machine learning algorithm that takes randomly selected data and creates different decision trees. It then makes the collection of votes from trees to decide the class of the test object.

You can also go through the Slides here: https://goo.gl/K8T4tW

Machine Learning Articles: https://www.simplilearn.com/what-is-artificial-intelligence-and-why-ai-certification-article?utm_campaign=Random-Forest-Tutorial-eM4uJ6XGnSM&utm_medium=Tutorials&utm_source=youtube

To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Random-Forest-Tutorial-eM4uJ6XGnSM&utm_medium=Tutorials&utm_source=youtube

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About Simplilearn Machine Learning course:

A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars. This Machine Learning course prepares engineers, data scientists and other professionals with the knowledge and hands-on skills required for certification and job competency in Machine Learning.

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What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:

1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.

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Who should take this Machine Learning Training Course?

We recommend this Machine Learning training course for the following professionals in particular:

1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning

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This video tutorial on probability and statistics gives a basic overview of the chi-square distribution. It explains how to use the chi-square distribution to conduct goodness of fit test to determine whether the null hypothesis should be accepted or rejected.

In this video, we will discuss -
00:00 Research and Null Hypothesis
01:19 Expected and Observed Frequency
01:47 Chi-Square Test
03:56 Example

🔥Free Data Science Course with Completion Certificate: https://www.simplilearn.com/data-science-free-course-for-beginners-skillup?utm_campaign=ChiSquareTest&utm_medium=Description&utm_source=youtube

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About Simplilearn Data Scientist Program:
This Data Science course, in collaboration with IBM, features exclusive IBM hackathons, masterclass, and Ask-me-anything sessions for the best training experience. This Data Scientist certification training provides hands-on exposure to key technologies including R, Python, Machine Learning, Tableau, Hadoop, and Spark via live interaction with practitioners, practical labs, and industry projects.

Learning Objectives of Simplilearn Data Scientist Program:
Data Scientist is one of the hottest professions. IBM predicts the demand for Data Scientists will rise by 28% by 2020. Simplilearn's Data Science certification course co-developed with IBM encourages you to master skills including statistics, hypothesis testing, data mining, clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, Hadoop, Spark, PROC SQL, SAS Macros, recommendation engine, supervised, and unsupervised learning and more.

Key Features of Simplilearn Data Scientist Program:
✅ Exclusive Hackathons and Live interaction with IBM leadership (Includes live Master Classes and Ask me anything sessions)
✅ 220+ hours of live interactive learning (Live Data Science online classes by industry experts)
✅ Capstone and 15+ real-life Data Science projects (Built on datasets of Amazon, UBER, Comcast)
✅ Simplilearn JobAssist™ (Get noticed by the top hiring companies)

👉Learn more at: https://www.simplilearn.com/big-data-and-analytics/senior-data-scientist-masters-program-training?utm_campaign=ChiSquareTest&utm_medium=Description&utm_source=youtube

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In this R Programming Full Course In 7 Hours video, we'll learn about What is R, variables, and data types in R. This R Programming for Beginners is the ideal video for anyone starting with R Programming and Data Analysis. We'll Understand Data Handling, Manipulation, and Visualization in R. So, let's get started with this R Tutorial!

Dataset Link - https://drive.google.com/drive..../folders/1Wn2TRSbM2C

This R Programming Full Course Video Covers the following Topics:

What is R Programming
Variables and Data Types in R
Logical Operators
Vectors
List
Matrix
Data Frame
Flow Control
Functions in R
Data Manipulation in R- dplyr
Data Manipulation in R- tidy
Data Visualization In R
Time Series Analysis in R

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#RprogrammingFullCourse #RProgrammingforBeginners #RProgrammingFullTutorial #RTutorial #RTutorialForBeginners #RProgrammingForBeginners #RLanguageTutorial #LearnRProgramming #DataAnalytics #Simplilearn

➡️ About Caltech Post Graduate Program In AI And Machine Learning

Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

✅ Key Features

- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

👉 Learn More At: https://www.simplilearn.com/artificial-intelligence-masters-program-training-course?utm_campaign=rProgramming23Feb22&utm_medium=DescriptionFirstFold&utm_source=youtube


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In this project tutorial, you will build a LeetCode clone with React, Tailwind CSS, Next.JS, Typescript, and Firebase. Also deploy it to Vercel at the end.

💻 Source Code: https://github.com/burakorkmez..../leetcode-clone-yout
💻 Github Gist: https://gist.github.com/burako....rkmez/5ba4c1a910f396
🔗 Demo Project: https://leetclone.vercel.app/problems/two-sum
🔗 Discord Server(to ask questions): https://discord.gg/YFn2WyheZV

Course created by @asaprogrammer_

⭐️ Contents ⭐️
0:00:00 Intro
0:00:29 Demo of The App
0:05:23 Project Setup
0:08:51 Auth Page Setup
0:13:19 Auth Page Navbar
0:18:54 AuthModal Layout UI
0:22:16 Login UI
0:29:41 Signup UI
0:31:59 ResetPassword UI
0:33:13 Integrating Recoil Auth State
0:47:31 Firebase Setup
0:52:41 Signup Functionality
1:01:21 Login Functionality
1:05:14 Auth Page Route Guard
1:08:01 Home Page UI
1:12:50 Problems Table UI
1:21:01 Youtube Video Modal
1:29:51 Topbar Update On Auth
1:32:46 Logout Functionality
1:37:11 Auth Modal Optimizations
1:38:44 Reset Password Functionality
1:42:56 React Toastify
1:47:19 Image optimizations
1:54:33 Creating [pid] page and update topbar
2:02:27 Creating Timer.tsx
2:12:31 Creating Workspace.tsx
2:15:18 Splitting The Page
2:19:47 Creating ProblemDescrition.tsx
2:26:03 Creating PreferenceNav.tsx
2:34:39 Creating Code Editor
2:41:10 Adding Test Cases UI
2:50:15 Creating EditorFooter.tsx
2:56:32 Data Handling Explained
3:01:50 Two Sum Problem
3:12:52 Reverse Linked List
3:18:05 Jump Game Problem
3:20:13 Valid Parentheses Problem
3:21:16 Search 2d Matrix Problem
3:22:01 Using SSG for [pid].tsx
3:46:47 Updating testcases UI
3:51:39 Initializing Firestore
3:55:56 Adding problems to DB
4:12:09 Fetch Problems
4:32:58 Create Users in DB
4:40:33 Fetch problem data
4:51:28 Loading skeletons
4:56:35 Get user data on the problem
5:06:23 Like functionality
5:27:51 Dislike functionality
5:39:03 Star functionality
5:46:03 Next and Previous problem
5:55:23 Solving Hydration Error
5:58:08 Confetti Celebration
6:01:43 Code Submission
6:20:50 Save code to localstorage
6:24:48 Solving bugs
6:31:08 Toggle Full Screen
6:34:13 SettingsModal UI
6:41:33 SettingsModal Functionality
6:54:23 Update Home Page
6:59:11 Sandboxing technique
7:01:58 Deployment
7:05:08 Firebase Rules

🎉 Thanks to our Champion and Sponsor supporters:
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الإيروجل مادة لديها ميزات خلابة ولكنه صعب التعامل بها. نبحث بهذا الفيديو عن تطور مادة الإيروجل واستخدام ميزاتها العديدة. اشتركوا في قناة فريتاسيوم بالعربي
https://bit.ly/Subscribe_to_Veritasium_Arabic
للحصول على حلقات جديدة كل أسبوع

شكر خاص للدكتور ستيفن ستاينر وطاقم العمل في ايروجيل للتكنولوجيا. للمزيد من المعلومات أو لشراء مادة الإيروجل:
http://www.aerogeltechnologies.com/

شكر للدكتور ستيفن جونز والدكتور ميهايل بيتكوف من مختبر ناسا للدفع النفاث.

وشكرا لـ "فلير" لإعارتنا هذه الكاميرا الحرارية عالية الدقة. كانت نتيجة التصوير مذهلة!
https://www.flir.com

ميزات مادة الإيروجل الاستثنائية هي بشكل كبير نتيجة لهيكلية المادة. بالرغم من أن مادة الإيروجل تعتبر صلبة هي اسفنجية على مستوى لمقياس النانو، والمسامات الهيكلية الاسفنجية على صغر 20 نانو متر تقريبا. هذا الذي يجعل سيليكا الإيروجل خفيف جدا وشفاف ومادة ماصة أيضا (اعتبرت سابقا أخف صلب في العالم لكن حل محلها الآن مادة الجرافين ايروجيل).

حبة إيروجل بحجم مكعب ثلج لديها مساحة سطحية داخلية تقارب نصف ملعب كرة قدم. تستخدم مادة الأيروجيل في المتاحف لتنظيم مستوى الرطوبة. إضافةً تساعد في الحفاظ على الهواء داخل مقياس الزلازل المستخدم على كوكب المريخ - تمتص الرطوبة والغازات المتصاعدة الأخرى التي تخرج من المكوك الفضائي. مقترحات اخرى لاستخدامها تتضمن استعمالها كمبيد جسدي للحشرات لتجفيف الحشرة كبديل للمبيدات الكيميائية والسامة.

التصوير من بول جراماجليا.
صورة الفيديو من إجنات بيربيسي.
الرسوم المتحركة من كاثرين شولجيان

الموسيقى من
https://epidemicsound.com

هذا فيديو تعليمي

الفيديو الأصلي باللغة الإنجليزي:
https://www.youtube.com/watch?v=GcdB5bFwio4
اسم الفيديو الأصلي باللغة الإنجليزية:
I Waterproofed Myself With Aerogel!
@veritasium

إدارة القناة:
http://www.getunilingo.com
ستوديو الدبلجة
Racti Art Production
مدير القناة: وسام الشيخ حسن
[email protected]

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

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

Сайт студии: http://vertdider.com

Мы в социальных сетях:
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Разрешение на публикацию: https://goo.gl/6n4dT7
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/SmSJXC6_qQ8

Вікно Еймса – це зображення, наприклад, на пласкому шматку картону, яке здається прямокутним вікном, але насправді є трапецією. Обидві сторони шматка картону мають однакове зображення. Картон підвішений вертикально на дроті, щоб він міг безперервно обертатися, або прикріплений до вертикальної осі, навколо якої неперервно обертається.
Під час обертання вікна здається, що обертання на мить зупиняється та змінює напрямок на протилежний. Тому воно не сприймається як безперервне обертання в одному напрямку, а натомість сприймається як коливання.
Кімната Еймса – приміщення неправильної форми, що використовується для створення тривимірної оптичної ілюзії. Була спроєктована американським офтальмологом Альбертом Еймсом в 1934 році й побудована в 1935 році.
Кімната Еймса побудована так, що спереду вона виглядає як звичайна кімната кубічної форми із задньою стінкою та двома боковими стінами, паралельними одна одній і перпендикулярними до горизонтальних площин підлоги і стелі. Проте дійсна форма кімнати трапецієподібна. [Wikipedia]

✅Текст читав: Андрій Горбунов (Lacuna)
✅Переклад, редагування, субтитрування: проєкт самоосвіти pre post, Віталій Шевчук (Цікава наука)

❕Підтримайте "Цікаву науку" на https://www.patreon.com/join/CikavaNauka або
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💳 Монобанк: 4441 1144 2309 4109 (Віталій Шевчук)

© Оригінальне відео: https://www.youtube.com/watch?v=dBap_Lp-0oc
© Канал Veritasium: https://www.youtube.com/c/veritasium (з люб’язного дозволу автора)
© Researched and written by Petr Lebedev and Derek Muller
Filmed by Derek Muller and Raquel Nuno
Animations, VFX, and Music by Jonny Hyman
Ames Room VFX and additional Ames Window animation by Nicolas Pratt
© Derek Muller
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References:
Ames, A., Jr. (1951). Visual perception and the rotating trapezoidal window. Psychological Monographs: General and Applied, 65(7), i–32. https://doi.org/10.1037/h0093600
Marcel de Heer & Thomas V. Papathomas (2017) The Ames Window Illusion and Its Variations
DOI:10.1093/acprof:oso/9780199794607.003.0014
Oross, Stephen, Francis, Ellie, Mauk, Deborah & Fox, Robert. (1987). The Ames Window Illusion: Perception of Illusory Motion by Human Infants. Journal of Experimental Psychology: Human Perception & Performance, 13(4), 609-613.
Behrens, R. (1987). The Life and Unusual Ideas of Adelbert Ames, Jr. Leonardo, 20(3), 273-279. doi:10.2307/1578173
Burnham, C., & Ono, H. (1969). Variables Altering Perception of the Rotating Trapezoidal Illusion. The American Journal of Psychology, 82(1), 86-95. doi:10.2307/1420609
Allport, G. W., & Pettigrew, T. F. (1957). Cultural influence on the perception of movement: The trapezoidal illusion among Zulus. The Journal of Abnormal and Social Psychology, 55(1), 104–113. https://doi.org/10.1037/h0049372
Zenhausern R. Effect of Perspective on Two Trapezoid Illusions. Perceptual and Motor Skills. 1969;28(3):1003-1009. doi:10.2466/pms.1969.28.3.1003

🔥 Introduction to Generative AI: https://www.edureka.co/introduction-generative-ai?qId=67374d0f-63a8-491e-95e5-3c24926d8968&index_name=prod_search_result_courses&objId=2674&objPos=1
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In this video, we dive into what NVIDIA is, exploring the company's innovative products. We’ll then cover NVIDIA’s latest news, highlighting recent announcements and advancements, followed by an exploration of core breakthroughs in technology that are driving industry-wide progress. Next, we’ll look at NVIDIA's newly released large language models, which are pushing the boundaries of AI applications, and wrap up with insights from the recent AI Summit, showcasing the latest in NVIDIA’s journey of AI leadership.

✅ 00:00 - Introduction
✅ 01:52 - What is Nvidia?
✅ 03:03- What is the news from Nvidia
✅ 04:10- What is the breakthrough all about?
✅ 04:58- Nvidia New LLM release
✅ 07:14 - What happened in AI Summit
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Why Become Generative AI Engineer?

Generative AI Engineer explores state-of-the-art technologies and make contributions to the field of artificial intelligence. It allows professionals to create models capable of producing authentic content, including images, text, and audio. This role is a combination of technical skills, continuous upskilling, and the prospect of implementing generative AI in various domains, ranging from art and design to healthcare and natural language processing.
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We have created the Generative AI Certification Course after thorough research and recommendations from industry experts, along with hands-on experience of tools and systems used by industry experts. Edureka will be by your side throughout the learning journey—we're Ridiculously Committed.

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For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US & Others: +18885487823 (toll-free)

Presented at Code w/ Claude by @anthropic-ai on May 22, 2025 in San Francisco, CA, USA.

Speakers:
Cal Rueb, Member of Technical Staff at @anthropic-ai

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