In this video I explain how Einstein Summation (einsum) works and why it is amazing, at the end of the video you too will realize that einsum is all you need. It works similar in all libraries with the following function call: torch.einsum, tf.einsum, numpy.einsum (pytorch, tensorflow, numpy).

Video title was recklessly stolen from the following blogpost which I was inspired by (read it!):
https://rockt.github.io/2018/04/30/einsum

Also looked quite a bit at:
https://obilaniu6266h16.wordpr....ess.com/2016/02/04/e
https://ajcr.net/Basic-guide-to-einsum/

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REFERENCES
[1] The main Paper: https://arxiv.org/abs/1706.03762
[2] Tensor2Tensor has some code with a tutorial: https://www.tensorflow.org/tut....orials/text/transfor
[3] Transformer very intuitively explained - Amazing: http://jalammar.github.io/illustrated-transformer/
[4] Medium Blog on intuitive explanation: https://medium.com/inside-mach....ine-learning/what-is
[5] Pretrained word embeddings: https://nlp.stanford.edu/projects/glove/
[6] Intuitive explanation of Layer normalization: https://mlexplained.com/2018/1....1/30/an-overview-of-
[7] Paper that gives even better results than transformers (Pervasive Attention): https://arxiv.org/abs/1808.03867
[8] BERT uses transformers to pretrain neural nets for common NLP tasks. : https://ai.googleblog.com/2018..../11/open-sourcing-be
[9] Stanford Lecture on RNN: http://cs231n.stanford.edu/sli....des/2018/cs231n_2018
[10] Colah’s Blog: https://colah.github.io/posts/....2015-08-Understandin
[11] Wiki for timeseries of events: https://en.wikipedia.org/wiki/....Transformer_(machine

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In this video on "What Is Jira?" we will cover the basic steps to learn Jira Tool as for new users to learn Jira Training with Jira Tutorial For Beginners.JIRA is an Agile project management tool used for Project Management, Bug Tracking, Issue Tracking, and Automate Workflow. It is also the solution that provides concepts and solutions to the entire team and the client, allowing for collaboration and transparency. This helps gather contextual data or information regarding the task, track the progress, report and tackle all the bugs, and release it when approved.

Below are the topics we are going to discuss in this JIRA Tutorial For Beginners:
00:00 Introduction
00:31 Question
00:49 Agenda
01:10 What Is Jira?
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What is Jira?
It is an incident management tool and a platform-independent tool that can run on any operating system and also is a multilingual tool. If we look into the work process of Jira, then it permits us to organize the task and other priorities, constructing a well-organized workflow in different management. The Workflow includes review and approval steps and multiple resolution possibilities.

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✅ About Professional Certification In Product Management Program

The Professional Certification in Product Management by SP Jain School Of Global Management prepares you to become a Product Manager via an exhaustive curriculum covering all aspects of product management. This program educates you on the latest industry trends, advancements, and related industry applications from Top Product Experts via Live Sessions.

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This video on " What is IoT " gives you a brief introduction to iot internet of things in just 6 minutes. Watch complete video to learn more!!

The IoT Internet of Things is making our lives a lot easier. Almost all appliances can now be monitored and, in some cases, operated remotely. With the help of a simple use case, we explain what IoT is and how it works in this video on IoT. The video provides a basic knowledge of the subject, especially if you're new to IoT.
0:00 - Start
1:26 - IoT Example
1:48 - IoT devices
3:01 - Working on IoT
4:00 - IoT Applications
Don't forget to take the quiz at 04:46!

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➡️ About Post Graduate Program In Full Stack Web Development
This program will give you the foundation for building full-stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is the perfect time to get started on your career as a full-stack web developer!

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- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive up to 25 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
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- 20 lesson-end and 5 phase-end projects
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- Agile
- JAVA
- Hibernate and JPA
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Learn Elixir and functional programming in this coruse for beginners. By the end of this course, you'll be able to build your own Elixir applications and confidently apply functional programming concepts in your projects.

✏️ Course created by @octallium

💻 Github Repo: https://github.com/octallium/f....unctional-programmin

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:45) What is Elixir?
⌨️ (0:04:07) What is functional programming?
⌨️ (0:06:57) What is Recursion?
⌨️ (0:13:04) Installing Elixir & Setting Up VS Code
⌨️ (0:15:03) Learning & Unlearning
⌨️ (0:18:29) Pattern Matching
⌨️ (0:22:35) Introduction to LiveBook
⌨️ (0:26:04) Understanding Immutability
⌨️ (0:30:22) Actor Model
⌨️ (0:34:48) Hello World in Elixir
⌨️ (0:43:25) Data Types - Atom
⌨️ (0:50:25) Data Types - String
⌨️ (1:45:29) Data Types - Charlist, Process & List
⌨️ (1:14:54) Data Types - Tuples & Keyword List
⌨️ (1:19:27) Data Types - Maps
⌨️ (1:25:38) Data Types - Struct
⌨️ (1:30:09) Flow Control
⌨️ (1:39:54) Mix Project
⌨️ (1:41:19) Head & Tail Recursion
⌨️ (2:00:17) Recursion - Sum Digits
⌨️ (2:15:31) Recursion - Factorial
⌨️ (2:24:57) Recursion - Reverse Number
⌨️ (2:32:45) Lists Are LinkedList!!!
⌨️ (2:35:53) List Sum
⌨️ (2:47:04) Reverse List
⌨️ (2:52:58) List Map
⌨️ (3:04:34) Concat
⌨️ (3:09:23) FlatMap
⌨️ (3:14:07) Mid Review
⌨️ (3:15:00) Seven Wonders
⌨️ (3:40:27) For Comprehension
⌨️ (3:42:00) Expense Manager
⌨️ (4:04:17) Project Stats
⌨️ (5:16:30) Final Words

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The Google Cloud Platform Tutorial video will cover all the important concepts of Google Cloud Platform. Google Cloud Platform is a set of cloud computing services provided by Google that runs on the same infrastructure that Google uses for its end-user products like, YouTube, Gmail and more. In this video, we will be looking into what is GCP? GCP tutorial, AWS vs GCP, GCP web hosting, Google cloud ML, GCP fundamentals, Google Cloud Platform Fundamentals (CP100A) Certification Training.

00:00:00 What is GCP?
01:32:48 GCP Tutorial
03:09:01 AWS vs GCP
03:17:13 GCP Web Hosting
03:36:24 Google Cloud ML
03:38:50 Google Cloud Platform Certificate Training

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➡️ About Post Graduate Program In Cloud Computing
This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.

✅ Key Features
- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive up to 30 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
- Online Convocation by Caltech CTME Program Director
- 40+ Hands-On Projects and Integrated Labs
- Capstone Project in 4 Domains
- Caltech CTME Circle Membership

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This is a video about how Japanese samurai swords, aka katanas, are made – from the gathering of the iron sand, to the smelting of the steel, to the forging of the blade. Head over to https://hensonshaving.com/veritasium and enter code 'Veritasium' for 100 free blades with the purchase of a razor. Make sure to add both the razor and the blades to your cart for the code to take effect.

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If you’re looking for a molecular modeling kit, try Snatoms, a kit I invented where the atoms snap together magnetically - https://ve42.co/SnatomsV

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A massive thank you to John McBride for making this entire project happen. This would not have been possible without John. Please check out his japan walking tours https://walkjapan.com/
Massive thanks to Craig Mod, Inoue-san, everyone in the Tanabe family, and Takanashi-san. Also a massive thank you to Kevin Cashen – https://cashenblades.com/

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References:
Tanii, H., Inazumi, T., & Terashima, K. (2014). Mineralogical study of iron sand with different metallurgical characteristic to smelting with use of Japanese classic iron-making furnace “Tatara”. ISIJ international, 54(5), 1044-1050.

Tate, M. (2005). History of Iron and Steel Making Technology in Japan Mainly on the smelting of iron sand by Tatara. Tetsu-to-Hagane, 91(1), 2-10.

Krauss, G. (1999). Martensite in steel: strength and structure. Materials science and engineering: A, 273, 40-57.

Krauss, G., & Marder, A. R. (1971). The morphology of martensite in iron alloys. Metallurgical Transactions, 2, 2343-2357.

Yalçın, Ü. (1999). Early iron metallurgy in Anatolia. Anatolian Studies, 49, 177-187.

Kapp, L., Kapp, H., & Yoshihara, Y. (1987). The craft of the Japanese sword. Kodansha International.

Matsumoto, C., Das, A. K., Ohba, T., Morito, S., Hayashi, T., & Takami, G. (2013). Characteristics of Japanese sword produced from tatara steel. Journal of Alloys and Compounds, 577, S673-S677.

Inoue, T. (2010). Tatara and the Japanese sword: the science and technology. Acta Mechanica, 214(1), 17-30.


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Adam Foreman, Anton Ragin, Balkrishna Heroor, Bill Linder, Blake Byers, Burt Humburg, Chris Harper, Dave Kircher, David Johnston, Diffbot, Evgeny Skvortsov, Garrett Mueller, Gnare, I.H., John H. Austin, Jr. ,john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Max Paladino, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

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Directed by Petr Lebedev
Written by Petr Lebedev and Derek Muller
Edited by Trenton Oliver, Jack Saxon, Peter Nelson
Animated by Fabio Albertelli, Jakub Misiek, David Szakaly
Filmed by Petr Lebedev and Lui Kimishima
Produced by Petr Lebedev, Derek Muller, Han Evans, Giovanna Utichi, Emily Taylor
Additional research by Gregor Čavlović
Thumbnail by Peter Sheppard


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Music from Epidemic Sound

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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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➡️ 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.

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