We present the 1st True 8K drone film by Film Edge, created right here in Kuala Lumpur, Malaysia.

After 2 months of prep, 2 months of shooting, and 6 months of post-processing, we’re finally posting our Airpixel 8K Kuala Lumpur Drone Film.

With worries about the pandemic weighing on our minds, we hope this drone film sends uplifting positive vibes across the nation. We hope it can showcase the beauty of Kuala Lumpur, captured with a high dynamic range and high-resolution camera, and maybe remind us not to lose hope.

Throughout the shoot, we met countless people who shared their knowledge and techniques. We sincerely appreciate these good souls, who volunteered to lend a hand and make our work smoother in completing the film.

Special thanks to Canon Marketing Malaysia — they were the first to believe in us and back us, when we shared our project vision and objectives during our first meeting back in August 2020.

It wasn’t an easy ride throughout the entire process, but we’re so relieved that we managed to overcome all the obstacles in producing this film, with your support.

Hopefully with the kickstart of these Airpixel 8K Kuala Lumpur Drone Films, we are able to inspire many other videomakers to generate 8K films and bring more beauty into this world.

Shot with
DJI Matrice 600 Pro
DJI Matrice 600
Ronin Mx Gimbal
Canon R5, Raw Format (8192 x 4320)
Lens: Canon RF Prime Lenses 35mm, 50mm
Sigma Art Prime Lens 35mm, 50mm, 85mm

BGM: Human-Spirit—Instrumental-Version by Hans-Johnson (artist)

Credit List:
Director : Andy Tan
Executive Producer : Nic Yeow
Producer : Sandra Khor
Drone Pilot : Wayne Ooi
Drone Gimbal Operator : Andy Tan
Drone Tech Supervisor : Adrian Loo
Drone Tech Assistant : Hong Xing Hang
Drone 1st Spotter : Teh Kelven
Production Assistant : Carol Hoo
Production Assistant : James Lam
Production Assistant : James Yap
Editor : Andy Tan
Graphic Designer : Teh Kelven
VFX : Chern Liang
Color Grading : Beh Jing Qiang
ScriptWriter : Zoey Moo
TMO Director : Chris Lee Chee Khoon
TMO Cinematographer : WenChuen Boy
TMO Editor: Teh Kelven, James Yap
Social Media Admin: James Lam

Special Thanks:
Canon Marketing Malaysia
Jin Xi Cheong @ Poladrone
Syahir @ EQ Kuala Lumpur
Cui Yun @ TREC
MonopodCo
Film Troop
Rocket Science Productions
Alex Chu @ March Equipment Store
Andrew @ AKP Studio
Bahrum Jaili
Adam Lokman
Yap Khai Soon
Darryl Chong
L33 Capital Sdn Bhd

Supported by
Malaysia Sports Aviation Federation - MSAF
DJI Malaysia
Tunku Abdul Rahman University College - TAR UC

Inspired by:
AnakAnakMalaysia by EcoWorld
TheNiteNiteShow With AlvinAnthons

#AirPixel8kkl #8kdronefilm #KualaLumpur8k #8kKualaLumpur #8kDrone #AirPixel #Filmedgeproduction #Kualalumpur #Malaysia #StayHealthy #KitaJagaKita #Southeastasia #AnakAnakMalaysia #TheNiteNiteShowWithAlvinAnthons

© 2021 Film Edge Sdn Bhd. All Rights Reserved.

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The movie story deals with Ram and Lakshman a.k.a Lucky both are brothers. Ram is a sincere guy who grows up to become an honest cop. Lucky is a happy-go-lucky guy who enjoys life. Ram and Lucky have a tom and jerry kind of fight going on. Siva Reddy is a factionist who wants to become a politician. Ram gathers evidence against Siva Reddy and Lucky unintentionally intercepts them. The rest of the story is all about the race between Lucky and Siva Reddy.

Movie:- Main Hoon Lucky The Racer (Race Gurram)
Starcast:- Allu Arjun, Shruti Haasan, Prakash Raj, Ravi Kishan
Directed by:- Surender Reddy
Music by:- S. Thaman
Label: DRJ Records

Welcome to DRJ Records Youtube Channel, the #1 destination for premium entertainment videos. Enjoy the blockbuster all languages Full movies, scenes, songs, & more.

Enjoy & stay connected with us!
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If deep neural networks are so powerful, why aren’t they used more often? The reason is that they are very difficult to train due to an issue known as the vanishing gradient.

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To train a neural network over a large set of labelled data, you must continuously compute the difference between the network’s predicted output and the actual output. This difference is called the cost, and the process for training a net is known as backpropagation, or backprop. During backprop, weights and biases are tweaked slightly until the lowest possible cost is achieved. An important aspect of this process is the gradient, which is a measure of how much the cost changes with respect to a change in a weight or bias value.

Backprop suffers from a fundamental problem known as the vanishing gradient. During training, the gradient decreases in value back through the net. Because higher gradient values lead to faster training, the layers closest to the input layer take the longest to train. Unfortunately, these initial layers are responsible for detecting the simple patterns in the data, while the later layers help to combine the simple patterns into complex patterns. Without properly detecting simple patterns, a deep net will not have the building blocks necessary to handle the complexity. This problem is the equivalent of to trying to build a house without the proper foundation.

Have you ever had this difficulty while using backpropagation? Please comment and let me know your thoughts.

So what causes the gradient to decay back through the net? Backprop, as the name suggests, requires the gradient to be calculated first at the output layer, then backwards across the net to the first hidden layer. Each time the gradient is calculated, the net must compute the product of all the previous gradients up to that point. Since all the gradients are fractions between 0 and 1 – and the product of fractions in this range results in a smaller fraction – the gradient continues to shrink.

For example, if the first two gradients are one fourth and one third, then the next gradient would be one fourth of one third, which is one twelfth. The following gradient would be one twelfth of one fourth, which is one forty-eighth, and so on. Since the layers near the input layer receive the smallest gradients, the net would take a very long time to train. As a subsequent result, the overall accuracy would suffer.

Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal

Join The Sound Of AI Slack community:
https://www.youtube.com/redirect?event=video_description&q=https%3A%2F%2Fjoin.slack.com%2Ft%2Fthesoundofai%2Fshared_invite%2Fzt-f71npumr-anli6W4QCuZ8UCj2gLoBkw&redir_token=QUFFLUhqbExxdFJ1S29mMVBKSFd0REZuUWFjUVpzQTFFUXxBQ3Jtc0ttWXZfTXpkRUlOdVNwU0poT1pmMkdkUzJFMkF4N19HSDVzbm5qUE43eV85bmwyNkFIdmlfbjVRTElhaUJIWmhfMDhJb1hQd1RaU1FmczNBWVA0ZjR6SXhiQ1JFV3owcURxc19KUmdlQU5KTzlmM0dxZw%3D%3D&v=KxRmbtJWUzI

In this video, you can get an understanding of the sound generation task, and learn to classify different types of sound generation systems.

I discuss the approaches and Deep Learning models used to generate sound. I also outline the challenges encountered with different methods, and discuss the features used to train generative sound systems.

Slides:
https://github.com/musikalkemi....st/generating-sound-

Interested in hiring me as a consultant/freelancer?
https://valeriovelardo.com/

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Connect with Valerio on Linkedin:
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Follow Valerio on Twitter:
https://twitter.com/musikalkemist

===============================

Content:
0:00 Intro
0:33 Defining the sound generation task
1:17 Classification of sound generation systems
2:14 Types of generated sounds
3:41 Sound representations
4:07 Generation from raw audio
7:40 Challenges of raw audio generation
10:21 Generation from spectrograms
16:12 Advantages of generation from spectrograms
18:07 Challenges of generation from spectrograms
20:26 Can we generate sound with MFCCs?
21:26 DL architectures for sound generation
22:13 Inputs for generation
24:03 Details about the sound generative system we'll build
24:44 What's next?
===============================

Mentioned papers:

Wavenet: A Generative Model for Raw Audio:
https://arxiv.org/pdf/1609.03499.pdf

Jukebox: A Generative Model for Music
https://arxiv.org/pdf/2005.00341

DrumGAN: Synthesis of Drum Sounds with Timbral Feature Conditioning Using Generative Adversarial Networks
https://arxiv.org/pdf/2008.12073

Melnet: A generative model for audio in the frequency domain
https://arxiv.org/pdf/1906.01083.pdf

Transformers are the rage nowadays, but how do they work? This video demystifies the novel neural network architecture with step by step explanation and illustrations on how transformers work.

CORRECTIONS:
The sine and cosine functions are actually applied to the embedding dimensions and time steps!

Audo Studio | Automagically Make Audio Recordings Studio Quality
https://www.audostudio.com/

Magic Mic | Join waitlist and get it FREE forever when launched! 🎙️
https://magicmic.ai/

Audo AI | Audio Background Noise Removal Developer API and SDK
https://audo.ai/

Subscribe to my email newsletter for updated Content. No spam 🙅‍♂️ only gold 🥇.
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Discord Server: Join a community of A.I. Hackers
https://discord.gg/9wSTT4F

Hugging Face Write with Transformers
https://transformer.huggingface.co/

Learn how to generate Blog Posts, content writing, Articles with AI - BLOOM Language Model - True Open Source Alternative of GPT-3. It's also free. Just with a click of button from Google Colab you can generate Ai generated Blog posts and Articles.

This is good for content marketers to leverage AI to scale content writing.

Colab Code used here - https://github.com/amrrs/ai-content-gen-with-bloom

#gpt3 #aicontent

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.

For Ambience Sounds and Music - https://share.epidemicsound.com/lfkdnw

Social Media
Instagram - https://www.instagram.com/kylerb/
Tiktok - @nomadicambience

Places You Can Find Me
Spotify
Apple Music

Playlists
Rain Walks - https://bit.ly/3p5FRJx
Sounds for Sleep - http://bit.ly/310kmNG
Sounds New York - http://bit.ly/2OpNYlW
Sounds of Iceland - http://bit.ly/35LFR7R
Sounds of Japan - https://bit.ly/2TZ7sOj
Sounds of California - https://bit.ly/32kclWH
Cafe Sounds - http://bit.ly/2JW8tCq
Nature Sounds - https://bit.ly/3l5SVMy
City Sounds - https://bit.ly/2I3I47U
Ocean Waves Sounds - http://bit.ly/2ygmPaj
Rain and Thunderstorms - https://bit.ly/353w6DV

Everything in the video is filmed and recorded on location.

Do not copy, reproduce, or distribute any of the content.

#newyork #nyc #timessquare

In this machine learning course, you will learn how to build AlphaZero from scratch. AlphaZero is a game-playing algorithm that uses artificial intelligence and machine learning techniques to learn how to play board games at a superhuman level.

🔗 Trained Models + Code for each Chapter: https://github.com/foersterrob....ert/AlphaZeroFromScr
🔗 AlphaZero-Paper: https://arxiv.org/pdf/1712.01815.pdf

✏️ Robert Förster created this course.
Website: https://robertfoerster.com/

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:35) Overview – Part 1
⌨️ (0:05:43) MCTS-Explained
⌨️ (0:27:03) AlphaMCTS-Explained
⌨️ (0:39:05) Overview – Part 2
⌨️ (0:45:14) Chapter 1: TicTacToe
⌨️ (1:00:32) Chapter 2: MCTS
⌨️ (1:34:54) Chapter 3: Model
⌨️ (2:03:09) Chapter 4: AlphaMCTS
⌨️ (2:16:39) Chapter 5: AlphaSelfPlay
⌨️ (2:35:13) Chapter 6: AlphaTrain
⌨️ (2:47:15) Chapter 7: AlphaTweaks
⌨️ (3:08:18) Chapter 8: ConnectFour
⌨️ (3:21:48) Chapter 9: AlphaParallel
⌨️ (3:55:59) Chapter 10: Eval

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐒𝐚𝐥𝐞𝐬𝐟𝐨𝐫𝐜𝐞 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/salesfo....rce-administrator-an (𝐔𝐬𝐞 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This "Workflow in Salesforce" video by Edureka will help you understand what exactly is workflow in salesforce. It will also talk about the criteria and the various actions that can be automated using workflow in salesforce. Finally, we will then conclude the session with a demo, which will explain how to create a workflow rule in salesforce.
Topics Covered:
00:00:00 Introduction
00:00:27 Agenda
00:01:01 What are workflow rules
00:02:40 Types of action in workflow
00:05:36 Evaluation criteria for workflow
00:07:35 Use cases
00:10:04 Demo Create a workflow rule

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📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
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Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free) for more information.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐲𝐛𝐞𝐫 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/cyberse....curity-certification 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
This Edureka video on "Cybersecurity Interview Questions and Answers" consists of 50 questions from multiple cybersecurity domains which will help you in preparation of your interviews. Watch it now!!
0:00 Introduction
0:35 What do you mean by Cybersecurity?
1:42 What do you have on your home network?
3:12 Tell me the difference between Symmetric and Asymmetric Encryption
3:47 What is CIA triad?
5:16 How do you report Risks?
6:14 What do you know about Cybersecurity Frameworks?
6:58 What is Weak Information Security?
7:31 What's the better approach of setting up a firewall?
9:30 What are Salted Hashes?
10:02 How identity theft could be prevented?
11:26 State differences between encoding, hashing and encryption
12:34 What steps will you take to secure a server?
13:41 Why do you need DNS monitoring?
14:25 What is a three-way handshake?
14:51 What are the Black hat, white hat and grey hat hackers?
16:05 How often should you perform Patch management?
16:25 What do you know about application security?
16:46 Differentiate between penetration testing and software testing?
18:02 Tell me about some common Cyber Threats
20:09 What are different Ost layers? What is the job of Network layer?
21:02 How would you reset a password-protected BIOS configuration?
22:18 What is data protection in transit vs data protection at rest?
23:21 Tell me the differences between Cybersecurity and Network Security?
24:41 What is an ARP and how does it work?
25:30 What is 25A and how can it be implemented for the public websites?
26:07 What techniques can be used to prevent brute force login attack?
26:36 What is Cognitive Cybersecurity?
27:01 What is port blocking within LAN?
27:20 What is the difference between VPN and VLAN?
27:52 What protocols falls under TCP/IP internet layer?
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📝Feel free to share your list of top 10 trending technologies to learn in 2023 in the comments below.📝

🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🌕 Artificial and Machine Learning PGD with E&ICT Academy
NIT Warangal: http://bit.ly/3OuZ3xs

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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐲𝐛𝐞𝐫 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 : https://www.edureka.co/cyberse....curity-certification 𝐂𝐨𝐝𝐞: 𝐘𝐎𝐔𝐓𝐔𝐁𝐄𝟐𝟎)
Cryptography is essential to protect the information shared across the internet. This video on What is cryptography explains you the fundamental concepts along with various encryption techniques. Below are the topics covered in this tutorial:
1. What is Cryptography?
2. Classification of Cryptography
3. How various Cryptographic Algorithm Works?
4. Demo: RSA Cryptography

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Dr. Werner Vogels, Amazon CTO and Swami Sivasubramanian, AWS VP of database, analytics, and ML, sit down to discuss the broad landscape of generative AI, why it’s not hype, and how AWS is democratizing access to large language and foundation models.

For a deeper look at how large language models look, be sure to check out “Hello World: Meet Large Language Models” https://go.aws/3ZYeRNj.

Learn more:
✅ Learn more about generative AI at https://go.aws/41m1d7R
✅ Subscribe to AWS YouTube: https://go.aws/3m5yEMW
✅ Learn more about AWS at https://go.aws/3MIV161

Do you have technical AWS questions?
Ask the community of experts on AWS re:Post: https://go.aws/3lPaoPb

ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.

#AWS #GenerativeAI #ML #AmazonWebServices #CloudComputing

Do you want to see chatGPT coding Rasa rules and stories? In this second episode of the series on Generative AI, We covered, Auto-encoding, and Auto-Regressive models. What is Prompt Engineering with an Example, Drawbacks of GPT, and prompt injection. We also discussed hallucinations in GPT with a demo and training process of chatGPT. At last chatGPT codes Rasa rules and stories.

Links to Papers:
Attention Is All You Need: https://arxiv.org/abs/1706.03762
Training language models to follow instructions with human feedback : https://arxiv.org/abs/2203.02155

Learn more about Rasa: https://rasa.com
Rasa documentation: http://rasa.com/docs
Join the Rasa Community: https://forum.rasa.com
Twitter: https://twitter.com/Rasa_HQ
Facebook: https://www.facebook.com/RasaHQ
Linkedin: https://www.linkedin.com/company/rasa
You can connect with me on: https://twitter.com/sonam_pankaj_


Chapters:-
0:00 Introduction
0:31 Papers
01:08 Language Models
1:22 Transformers
1:52 Auto-Encoding
2:18 Auto-Regressive
2:48 Hallucination in Generative Models
4:21 chatGPT
4:56 Prompt Engineering
5:18 Prompt engineering examples
6:06 chatGPT training steps
6:30 chatGPT training step-2
7:15 chatGPT training steps-3
7:43 chatGPT codes Rasa Rules and Stories
9:48 Prompt Injection


#generative #ai #chatgpt #chatbot #nlp #opensource

Hi, thanks for watching our video about training large language models on PyTorch 2.0
In this video we’ll walk you through:
- GPT4
- GPU
- Multimodal
- LLM
- Model Training
- Model Parallelism
- Distributed Data Parallel DDP
- Deep Learning
- ChatGPT
- palm-e Models
- VALLE
- GOOGLE LAMDA
Mode Parallel, Gradient Accumulation, Data Parallel with PyTorch, Larger Batches

The PyTorch Distributed Stack is a set of PyTorch features that facilitate training models in distributed systems. PyTorch has introduced multiple new features in the distributed package to help support larger scale and higher efficiency for both data and model parallel. In this talk, Yanli Zhao (Software Engineer, Meta AI) shares tips on how to reduce memory footprint, fit larger models and achieve significant speedup with distributed systems with features like Zero Redundancy Optimizer, DistributedDataParallel, FullyShardedDataParallel, CUDA RDMA and ShardedTensor.

OpenAI has officially announced GPT-4 the latest version of its incredibly popular large language model powering artificial intelligence (AI) chatbots. ChatGPT is an AI chatbot that utilizes the language models of GPT-3 and GPT-4 for interactive communication. In other words you can use chatgpt with gpt4. A Generative Pre-Trained Transformer (GPT) is a sophisticated neural network architecture used to train large language models (LLMs). It makes use of large amounts of publicly available Internet text to simulate human communication.

Main improvements:
* It's multimodal (what it is is in video)
* Longer context length
* Better performance
* More safer

chatgpt,
gpt4,
google AI,
Google Lamda,
Google PALM,
artificial intelligence,
Machine learning,
transformer models,
deep learning,
Ray,Ray Tune,Hyperparameter optimization,machine learning,mlflow,open-source

TIMESTAMPS
0:00 Intro
0:55 PyTorch
1:25 Autograd
2:35 PyTorch Distributed
3:10 Types of Parallelization
5:20 DDP
6:38 FSDP
7:48 Fairscale
8:55 PyTorch Lightning
10:30 Model Parallel
11:48 Sagemaker Training



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LINKS/Sources USED:
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In this video we go over how to use chat gpt with google sheets. You can use OpenAI's GPT as functions inside of Google Sheets to help improve your workflow.

OpenAI Website: https://openai.com/api/

===============
This video contains affiliate links. If you click on one of them, I'll receive a commission.

This video, and the contents in this video, is for entertainment purposes only and does not constitute financial, accounting, or legal advice.

🔥𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐂𝐨𝐮𝐫𝐬𝐞 - 𝐁𝐞𝐠𝐢𝐧𝐧𝐞𝐫𝐬 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝: https://www.edureka.co/openai-....chatgpt-training-cou
In this Edureka video on 𝐂𝐡𝐚𝐭𝐆𝐏𝐓 𝐓𝐮𝐭𝐨𝐫𝐢𝐚𝐥 𝐟𝐨𝐫 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫𝐬, you will learn how to use ChatGPT for coding and programming using different languages. ChatGPT can become a very. useful tool for every developer.
00:00:00 ChatGPT for Developers
00:00:40 What is ChatGPT
00:01:37 How ChatGPT Works
00:02:16 ChatGPT vs Codex
00:03:16 How to use ChatGPT
00:03:51 ChatGPT for Programming
00:04:06 ChatGPT for Shell Scripting
00:08:45 ChatGPT for Python Programming
00:10:47 ChatGPT for HTML and CSS Coding
00:12:10 ChatGPT for JavaScript

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🔴 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐎𝐧𝐥𝐢𝐧𝐞 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬

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🔥 Post Graduate Program in Cyber Security: https://www.simplilearn.com/pgp-cyber-security-certification-training-course?utm_campaign=HowDoesARansomwareAttackWork26July2023&utm_medium=DescriptionFirstFold&utm_source=youtube

In this video on " How Does a Ransomware Attack Work ?" We answer the questions like what is ransomware and how it works, by covering the ways a ransomware attack can be started with generic phishing emails, and how hackers demand payment for releasing personal files and information. We also take a look at some remedial measures that can be taken to prevent being targeted. And at the end, we will some popular Ransomware attacks in history.

Below are the topics covered in this Ransomware Explained video:

00:00 How does a ransomware attack work?
02:02 Introduction to Ransomware
02:44 What is a Ransomware
03:29 How does a ransomware attack work?
04:23 Types of Ransomware
05:19 effects of ransomware on business
06:20 How to prevent ransomware
07:11 Popular ransomware attack

Cybercriminals employ ransomware as a kind of malware (malicious software). When a computer or network is infected with ransomware, the ransomware prevents users from accessing the system and encrypts their data. Cybercriminals hold their victims' data hostage in exchange for ransom money. A vigilant eye and security software are recommended for protection against ransomware infection. Following an infection, victims of malware assaults have three options: they may pay the ransom, attempt to delete the software, or restart the device.

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Learn about JavaScript functions in this full course for beginners. Functions are a fundamental building block of programming, and they're a great way to make your code more readable and maintainable.

✏️ Course developed by @tapasadhikary

We will cover the following:
✅ What and Why JavaScript Functions
✅ Clarifying Terminologies(function vs methods, parameter vs arguments, and many more!)
✅ Function Declarations
✅ Function Executions
✅ Default Parameter
✅ Rest Parameter
✅ Call Stack
✅ Arrow Function
✅ Nested Function
✅ Function Scope
✅ Closure
✅ Callback Function
✅ Higher-Order Function
✅ Pure Function
✅ IIFE
✅ Recursion

⭐️ Contents ⭐️
(0:00:00) Welcome to JavaScript Function Crash Course
(0:01:52) How To Take This Course?
(0:03:10) What Are JavaScript Functions? Let Me Tell You a Story.
(0:07:04) Learn JavaScript Functions Visually.
(0:10:49) JavaScript Terminologies You Must Know
(0:12:02) How To Declare a Function?
(0:23:03) How To Return From a Function?
(0:27:14) Default Parameters For JavaScript Functions
(0:30:20) Rest Parameters For JavaScript Functions
(0:33:48) JavaScript Arrow Functions
(0:38:30) Nested Functions in JavaScript
(0:41:17) Understanding JavaScript Function Scope
(0:49:35) Mastering JavaScript Closure With Easy Guide
(0:59:27) What are Callback Functions in JavaScript?
(1:06:03) What are Higher Order Functions(HOF) in JavaScript?
(1:12:32) What is a Pure Function in JavaScript?
(1:16:34) What is an IIFE In JavaScript?
(1:21:30) Learn JavaScript Call Stack(Function Execution Stack)
(1:27:25) What is Recursion in JavaScript?
(1:35:16) Closing Notes and What's From Here?

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This is a video about some of the many times we have nearly blown up the world. Head over to
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References:
List of Broken Arrows -- https://ve42.co/AtomicArchive https://ve42.co/BrokenArrowsReport
Declassified Goldsboro Report -- https://ve42.co/Goldsboro
Operation ChromeDome -- https://ve42.co/OperationChromeDome
CIA website -- https://ve42.co/CIA

Cataclysmic cargo: The hunt for four missing nuclear bombs after a B-52 crash -- https://ve42.co/WoPo
THE LAST FLIGHT OF HOBO 28 -- https://ve42.co/lastflight
The Voice of Larry Messinger is from this documentary -- https://ve42.co/Messinger
Even Without Detonation, 4 Hydrogen Bombs From ’66 Scar Spanish Village -- https://ve42.co/NYTPalomares
Decades Later, Sickness Among Airmen After a Hydrogen Bomb Accident -- https://ve42.co/NYTPalomares2
Picture of ReVelle -- https://ve42.co/JackReVelle1
Great NPR where the audio of ReVelle is from -- https://ve42.co/JackReVelle2
CIA Website -- https://ve42.co/CIA


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