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Find the full "AI Agents for Beginners" Course and code samples here ➡️ https://aka.ms/ai-agents-beginners
In this lesson:
00:00 Introduction
00:00 Lesson 1 What are AI agents?
5:55 Lesson 2 Which agent framework to use
14:14 Lesson 3 How to design good AI agents
19:35 Lesson 4 What is the Agent Tool Use Design Pattern?
25:47 Lesson 5 What is agentic RAG?
33:03 Lesson 6 How to build effective AI agents
38:54 Lesson 7: What is the AI Agent Planning Design Pattern?
44:20 Lesson 8 How to use a multi-AI agent system
51:22 Lesson 9 How can AI agents improve?
58:32 Lesson 10 How to deploy AI agents into production
High Quality HDR 12K VIDEO ULTRA HD 120FPS, 60FPS, 30FPS For Your HDR 8K resolution devices. Amazing combination of 16k sensor and one of the sharpest lenses in the world Zeiss Otus set in addition of HDR brings image to life! You can use this collection of Hight Resolution clips in your Tv For The Living Room, Office, Lounge, Waiting Room, Spa, Showroom, Restaurant and more. Play It On Your LG Qled TV, Samsung Oled TV, Smart TV, Sony Device, Samsung Technology, Roku, Apple TV, IPad Pro, Apple XDR, Chromecast, Xbox, Playstation and more.
🔥Note: To view at 8K 60P you will need to use Chrome & opera.
🔥 All Videos was shot, edited & color graded by me.
THESE 8K VIDEOS ARE FOR TV'S FOR DEMO AND TEST THE QUALITY OF ALL 8K TV'S.
🔥 I have done High color correction, Color changing, Raw Videos editing, HDR color Setting, merge files & 8K Export file etc.
Editing Video by
PREETI NAAGAR
This video created for entertainment informative, educational purposes and Film & Animation.
Editing Software
Adobe premiere pro
ALL CREDIT GOES TO YOUTUBE
Copyright
🎦 All The footage Was Edited And Color Corrected By Me.
🎦 Video Footage Copyright Under License.
All other rights reserved.
(Jezersko Solčava, Yellow-bellied slider)
#12khdr #DolbyVision #60fps
Turkey 8K Video Ultra HD 120 FPS (The Land of Four Seasons) 8K TV Test Video
8K Video Ultra HD, 60fps, 120fps, 240fps for Your 8K Resolution Device: Apple TV, 8K TV Samsung, LG TV, OLED TV, QLED TV, Sony Device or iPhone, Huawei, Xiaomi, Asus Phone and your others 8k device.
》This 8K Demo video is make for Educational and Entertainment purposes. You can use it to learn About Country, City, Nature, Place, River and etc with 8K Ultra HD Resolution.
》I did high color correction, color change, bit rate, raw video editing, merge files, optimize 8K demo video and more.
》About Turkey : Turkey, officially the Republic of Türkiye, is a transcontinental country located mainly on the Anatolian Peninsula in Western Asia, with a small portion on the Balkan Peninsula in Southeast Europe. Wikipedia
President: Recep Tayyip Erdoğan Trending
Capital: Ankara
Dialing code: +90
Currency: Turkish lira
Official language: Turkish
》Top Rated Tourist Attractions in Turkey:
1. Hagia Sophia (Aya Sofya) Mosque
2. Ephesus
3. Cappadocia
4. Topkapı Palace
5. Pamukkale
6. Antalya
7. Cruising the Mediterranean
8. Mount Nemrut
9. Ölüdeniz
10. Aspendos
11. Patara
12. Pergamum
13. The Blue Mosque
14. Troy
15. Ani
16. Safranbolu
17. The Bosphorus
18. Gaziantep Zeugma Mosaic Museum
19. Göbeklitepe
20. Sumela Monastery
21. Bozcaada
22. Gökçeada
23. Cunda
24. Heybeliada (Princes' Islands)
25. Kızkalesi Island
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》All The Footage Used In this Video Licensed by 8K Earth.
》I Use Paid Stock Footage & All Pictures In My Channel.
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》I tried to Present a new way by Changing the color of the Video.
#8k #8kvideo #turkey #120fps
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In this video we read the original transformer paper "Attention is all you need" and implement it from scratch!
Attention is all you need paper:
https://arxiv.org/abs/1706.03762
A good blogpost on Transformers:
http://www.peterbloem.nl/blog/transformers
People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9
GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning
✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson
❤️ Become a Channel Member:
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LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson
PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf
OUTLINE:
0:00 - Introduction
0:54 - Paper Review
11:20 - Attention Mechanism
27:00 - TransformerBlock
32:18 - Encoder
38:20 - DecoderBlock
42:00 - Decoder
46:55 - Putting it togethor to form The Transformer
52:45 - A Small Example
54:25 - Fixing Errors
56:44 - Ending
An in-depth guide to tensorboard with examples in plotting loss functions, accuracy, hyperparameter search, image visualization, weight visualization as well as tensorboards visual embedding or projector.
The functions we look at from Pytorchs tensorboard are add_scalar, add_image, add_histogram, add_embedding and add_hparams.
People often ask what courses are great for getting into ML/DL and the two I started with is ML and DL specialization both by Andrew Ng. Below you'll find both affiliate and non-affiliate links if you want to check it out. The pricing for you is the same but a small commission goes back to the channel if you buy it through the affiliate link.
ML Course (affiliate): https://bit.ly/3qq20Sx
DL Specialization (affiliate): https://bit.ly/30npNrw
ML Course (no affiliate): https://bit.ly/3t8JqA9
DL Specialization (no affiliate): https://bit.ly/3t8JqA9
GitHub Repository:
https://github.com/aladdinpers....son/Machine-Learning
✅ Equipment I use and recommend:
https://www.amazon.com/shop/aladdinpersson
❤️ Become a Channel Member:
https://www.youtube.com/channe....l/UCkzW5JSFwvKRjXABI
✅ One-Time Donations:
Paypal: https://bit.ly/3buoRYH
Ethereum: 0xc84008f43d2E0bC01d925CC35915CdE92c2e99dc
▶️ You Can Connect with me on:
Twitter - https://twitter.com/aladdinpersson
LinkedIn - https://www.linkedin.com/in/al....addin-persson-a95384
GitHub - https://github.com/aladdinpersson
PyTorch Playlist:
https://www.youtube.com/playli....st?list=PLhhyoLH6Ijf
OUTLINE:
0:00 - Introduction
2:08 - Initializing SummaryWriter
2:55 - Creating a loss and accuracy plot
5:40 - Doing Hyperparameter search
16:36 - Visualizing Dataset Images and Network Weights
20:55 - Tensorboard Embedding Projector
Paper: https://arxiv.org/abs/2003.08934
Full title: NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
Timestamps:
0:00 - Introduction
0:54 - Goal of NeRFs
2:36 - NeRF network architecture
4:35 - The key idea you need to understand
6:17 - How NeRFs learn and work
12:15 - Intuition behind volume rendering
15:15 - Loss function
15:55 - Trick #1: Positional Encoding
17:36 - Trick #2: Hierarchical sampling
19:35 - Ending
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Tesla has currently pioneered a major shift in the auto industry towards Self-driving cars. Have you ever wondered how it achieves this? Let's discuss the basic essentials of Self-Driving capabilities in a Tesla Car:
1. Computer Vision:
A broad field in Artificial Intelligence focusing on enabling computers to see. Tesla cars primarily make use of 2 Computer Vision Applications that make use of Deep Learning; Image Localization and Image Classification. Image Localization allows Tesla cars to position where an object is while Image classification allows the car to identify the object. These two come hand in hand to allow Tesla cars to "see".
2. Decision Making:
Besides using Deep Learning to make more efficient models to enable Tesla cars to "see", it has to carry out these resource-intensive tasks in real time. So the chips in Tesla cars have to be powerful enough to handle all the computations in Self-Driving cars. Tesla recently unveiled their own chips in 2019, which they claim is 21x more powerful than Nvidia chips.
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In this short Python tutorial, You will learn how to build your own Gradio App for Text Generation / Natural Language generation using GPT-J-6B that's available on Hugging Face Transformers. Eleuther AI's GPT-J-6B is the real open-source alternative for GPT-3 by OpenAI. Using that from Hugging Face Model Hub, We'll learn how to build a Full-stack Web App using Gradio - surprisingly in just 6 lines of Python code, you'd have a world-class text generation App up and running.
GPT-J-6B on Hugging Face - https://huggingface.co/EleutherAI/gpt-j-6B
GPT-J-6B Web App on HF Spaces - https://huggingface.co/spaces/akhaliq/gpt-j-6B
Gradio Docs - https://gradio.app/docs#load
Gradio Hosted - https://gradio.app/introducing-hosted
Courtesy: Ahsen Khaliq
Previous Video on GPT-J and AI Blog Writing:
https://youtu.be/fnvQ8qQM6NU
Snowfall walk in Times Square, New York City. It's been a year since I last visited New York. I didn't plan a route for this video. My friend living in Brooklyn sent me a text that there would be snowfall in New York the following morning, so I made a 14-hour drive up to New York the day before and crashed in my hotel room in Times Square at 2 am. The next morning it started to snow, but I was still totally exhausted from the night before. This walk is a bit aimless and mostly around Times Square because I had to start work immediately after and was already out of it. I wanted to capture the contrast between this video and my previous videos from 2019. New York is so quiet. Early apologies for all of the cuts in the recording. I stopped to clear water residue off of my camera lens every so often. Binaural audio for an immersive experience.
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Everything in the video is filmed and recorded on location.
Do not copy, reproduce, or distribute any of the content.
#newyork #nyc #timessquare
🔥 Data Warehousing & BI Training (Use Code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎"): https://www.edureka.co/search
This tutorial on data warehouse concepts will tell you everything you need to know in performing data warehousing and business intelligence. The various data warehouse concepts explained in this video are:
1. What Is Data Warehousing?
2. Data Warehousing Concepts:
3. OLAP (On-Line Analytical Processing)
4. Types Of OLAP Cubes
5. Dimensions, Facts & Measures
6. Data Warehouse Schema
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Check our complete Data Warehousing & Business Inelligence playlist here: https://goo.gl/DZEuZt.
#DataWarehousing #DataWarehouseTutorial #DataWarehouseTraining #DataWarehouseConcepts
Subscribe to our channel to get video updates. Hit the subscribe button above.
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How it Works?
1. This is a 5 Week Instructor led Online Course, 25 hours of assignment and 10 hours of project work
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. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate!
- - - - - - - - - - - - - -
About the Course:
Edureka's Data Warehousing and Business Intelligence Course, will introduce participants to create and work with leading ETL & BI tools like:
1. Talend 5.x to create, execute, monitor and schedule ETL processes. It will cover concepts around Data Replication, Migration and Integration Operations
2. Tableau 9.x for data visualization to see how easy and reliable data visualization can become for representation with dashboards
3. Data Modeling tool ERwin r9 to create a Data Warehouse or Data Mart
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Who should go for this course?
The following professionals can go for this course:
1. Data warehousing enthusiasts
2. Analytics Managers
3. Data Modelers
4. ETL Developers and BI Developers
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Why learn Data Warehousing and Business Intelligence?
All the successful companies have been investing large sums of money in business intelligence and data warehousing tools and technologies. Up-to-date, accurate and integrated information about their supply chain, products and customers are critical for their success.
With the advent of Mobile, Social and Cloud platform, today's business intelligence tools have evolved and can be categorized into five areas, including databases, extraction transformation and load (ETL) tools, data quality tools, reporting tools and statistical analysis tools. This course will provide a strong foundation around Data Warehousing and Business Intelligence fundamentals and sophisticated tools like Talend, Tableau and ERwin.
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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 Review:
Kanishk says, "Underwent Mastering in DW-BI Course. The training material and trainer are up to the mark to get yourself acquainted to the new technology. Very helpful support service from Edureka."
🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐀𝐖𝐒 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/aws-certification-training (Use code "𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎")
This Edureka "AWS CloudFront” video will introduce you to the fundamentals of AWS CloudFront and also explain various Content Delivery concepts.
00:00:00 Introduction
00:00:27 Agenda
00:00:49 What is AWS
00:02:40 Need for AWS CloudFront
00:04:47 What is AWS CloudFront
00:05:23 How AWS CloudFront Delivers Content
00:08:01 Applications
00:10:04 Demo
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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬
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🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs
📢📢 𝐓𝐨𝐩 𝟏𝟎 𝐓𝐫𝐞𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬 𝐭𝐨 𝐋𝐞𝐚𝐫𝐧 𝐢𝐧 2023 𝐒𝐞𝐫𝐢𝐞𝐬 📢📢
⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g
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🔥Google Cloud InDepth Tutorial | Google Cloud Platform Tutorial 2023 | Cloud Computing | Simplilearn
🔥 Caltech Cloud Computing Bootcamp (US Only): https://www.simplilearn.com/cloud-computing-bootcamp-certification-course?utm_campaign=GCPFS12Feb23-0fEH648poj4&utm_medium=DescriptionFirstFold&utm_source=youtube
🔥Post Graduate Program In Cloud Computing: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=GCPFS12Feb23-0fEH648poj4&utm_medium=DescriptionFirstFold&utm_source=youtube
This video by simplilearn is based on Google Cloud In-depth tutorial for 2022. This google cloud in-depth tutorial will help you learn the critical fundamentals of the cloud according to the current IT Standards. Also, the tutorial will guide you with critical skills, tips and tricks required to become a cloud expert. 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.
What is GCP?
GCP Tutorial
AWS vs GCP
GCP Web Hosting
Google Cloud ML
Google Cloud Platform Certificate Training
✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH
⏩ Check out the Google Cloud Platform(GCP) tutorial videos: https://bit.ly/35r8IPg
#GoogleCloudPlatformTutorial #GoogleCloudPlatformFullCourse #GoogleCloudTutorial #GoogleCloudPlatformTutorialForBeginners #CloudComputing #Simplilearn
🔥 Enrol for FREE Cloud Computing Course & Get your Completion Certificate: https://www.simplilearn.com/skillup/skillup-free-online-courses?utm_campaign=GCPFS12Feb23&utm_medium=Description&utm_source=youtube
Simplilearn's Google Cloud Platform (GCP) Architect certification program will empower you with the skills needed to advance your career in cloud architecture and become a certified Google Professional Cloud Architect. The course covers IAM, Networking, cloud storage, and much more. Simplilearn’s online Google Cloud Platform (GCP) Architect certification course introduces you to the flexible infrastructure and platform services provided by Google Cloud Platform. In this course, you will learn how to analyze and deploy infrastructure components such as networks, storage systems, and application services.
Key Features:
1. 100% Money Back Guarantee
2. 20 hours of online self-paced learning
3. 20 demos included
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Eligibility: This Google Cloud Platform Architect course is well-suited for: Software developers, Cloud solutions architects, Systems operators, DevOps engineers
Pre-requisites:
1. Knowledge of Google Cloud Platform fundamentals or any cloud platform is beneficial.
2. Basic knowledge of command-line tools and Linux operating system environments.
3. Prior operations experience in deploying and managing applications, either on-premises or in a public cloud environment.
👉Learn more at: https://www.simplilearn.com/google-cloud-architect-certification-training-course?utm_campaign=GCPFS12Feb23&utm_medium=Description&utm_source=youtubeL
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Get the Simplilearn app: https://simpli.app.link/OlbFAhqMqgb
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
Recently, I have trained GPT-2 on the Lakh MIDI dataset. It is a collection of roundabout 175K MIDI files. Training takes quite a long time! But using NVIDIA DGX-2 really made a difference!
The unprocessed Lakh MIDI dataset:
https://colinraffel.com/projects/lmd/
Checkout NVIDIA DGX-2:
https://www.nvidia.com/en-us/data-center/dgx-2/
Checkout the NVIDIA DGX Systems family:
https://www.nvidia.com/en-us/d....ata-center/dgx-syste
Hexagon Machine - New Order MMXXI:
https://bfan.link/new-order-mmxxi
Hexagon Machine on Instagram:
https://www.instagram.com/hexagonmachinemusic/
Hexagon Machine on Bandcamp:
https://hexagonmachine.bandcamp.com/
Say Hello on LinkedIn:
https://www.linkedin.com/in/dr....-tristan-behrens-734
More on my Patreon account:
https://www.patreon.com/computational_creativity
In this full Kotlin course, you will learn the most popular programming language on Android and start building your own apps.
✏️ Course from Alexandru Cristian.
More courses from Alexandru:
🔗 Kotlin: https://www.udemy.com/course/k....otlin-masterclass-le
🔗 Python: https://www.udemy.com/course/p....ython-complete-cours
🔗 Java: https://www.udemy.com/course/j....ava-for-absolute-beg
⌨️ (0:00:00) Introduction
⌨️ (0:01:06) Install Intellij IDEA
⌨️ (0:06:23) Hello World
⌨️ (0:25:41) Variables
⌨️ (0:41:18) Window
⌨️ (0:42:24) Integer Type
⌨️ (0:53:08) DataType: Byte, Short and Long
⌨️ (1:04:42) Float and Double
⌨️ (1:16:16) Char and Boolean
⌨️ (1:25:55) Operators
⌨️ (1:49:47) Comments
⌨️ (1:51:43) IfThenElse: Statement-Expression
⌨️ (2:02:25) Less Than or Equal To Operator
⌨️ (2:10:33) logical AND operator
⌨️ (2:14:52) logical OR operator
⌨️ (2:29:48) When Statement-Expression
⌨️ (2:44:16) Null
⌨️ (2:59:59) Functions
⌨️ (3:15:46) Function: return and expressions
⌨️ (3:27:43) Functions Overloading
⌨️ (3:33:57) Functions Default Values
⌨️ (3:44:09) Functions vararg keyword
⌨️ (3:55:17) loops: FOR loop
⌨️ (4:05:18) loops: WHILE and DO WHILE loop, Labels and continue and break
⌨️ (4:28:26) loops Challenge
⌨️ (4:43:14) Arrays
⌨️ (4:59:56) Arrays Challenge
⌨️ (5:18:41) OOP: Classes
⌨️ (5:37:01) OOP: Primary Constructor
⌨️ (5:51:25) OOP: Initializer Blocks
⌨️ (6:07:03) OOP: Secondary Constructors
⌨️ (6:23:56) OOP: Constructor Parameters Default Values
⌨️ (6:31:08) OOP: Getters and Setters
⌨️ (6:48:00) OOP: lateinit keyword
⌨️ (6:57:52) OOP: Companion Object
⌨️ (7:07:47) OOP: Singleton
⌨️ (7:19:08) OOP: Lazy Initialization
⌨️ (7:25:02) OOP: Enum Classes
⌨️ (7:39:27) OOP: Inner Classes
⌨️ (7:44:19) OOP Challenge
⌨️ (8:00:16) OOP: Inheritance 1
⌨️ (8:20:37) OOP: Inheritance 2
⌨️ (8:35:31) OOP: Sealed Class
⌨️ (8:48:57) OOP: Abstract Classes
⌨️ (8:56:29) OOP: Data Class
⌨️ (9:23:53) OOP: Interfaces 1
⌨️ (9:35:37) OOP: Interfaces 2
⌨️ (9:49:03) OOP: Object Expression
⌨️ (9:58:09) OOP: Delegation
⌨️ (10:05:20) List, Set, Map
⌨️ (10:22:26) Mapping
⌨️ (10:34:17) Zipping and Association
⌨️ (10:49:34) Flatten
⌨️ (10:59:17) String Representation
⌨️ (11:10:19) Filtering
⌨️ (11:28:53) Test Predicates
⌨️ (11:31:30) Plus and Minus Operators
⌨️ (11:34:45) Grouping
⌨️ (11:39:41) Retrieve Collection parts
⌨️ (11:59:47) Retrieve Single Elements
⌨️ (12:04:28) Aggregate Operations
⌨️ (12:09:23) Comparable and Comparator
⌨️ (12:36:43) Binary Search
⌨️ (12:51:06) Generics: Type Parameters and Casting
⌨️ (13:07:28) Generics: Upper Bounds