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79 Stories To Learn About Youtubers

by Learn RepoSeptember 8th, 2023

Too Long; Didn't Read

Learn everything you need to know about Youtubers via these 79 free HackerNoon stories.

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Let's learn about Youtubers via these 79 free stories. They are ordered by most time reading created on HackerNoon. Visit the /Learn Repo to find the most read stories about any technology.

1. The State of AI in 2022: An End-of-Year Recap of the Machine Learning Industry

An 8-minute AI rewind with results and limitations of all the hottest AI models shared in 2022!

2. An Interview with Quadruple Kaggle Grandmaster Chris Deotte from NVIDIA

In this episode, I interview Chris Deotte, one of the very few Kaggle quadruple grandmasters.

3. How to Enable Autocomplete (and AI) in your Terminal

Here's how I enhance my terminal with autocomplete and Artificial Intelligence

4. GPT-4 Explained: ChatGPT's Big Brother is Here to Disrupt Everything

If you thought ChatGPT was good, just wait until you try GPT-4.

5. 5 Docker Desktop Alternatives

For Windows and macOS users, Docker Desktop has been the main way to use Docker containers for many years. But how about now?

6. #FoundersConnect: Interview with Hanu Agbodje, the Founder and the CEO of Patricia

In this episode, Peace Itimi interviews Hanu Agbodje, CEO of Patricia, on his journey as a tech entrepreneur and

7. Making the Case for Why React Native is Garbage

Ex-Google/ex-Facebook TechLead presents the case against the React Native cross-platform mobile app framework. Join my interview training prep here http://techinterviewpro.com/

8. 8 BEST Crypto Wallets for Beginners

If there’s one thing that every crypto investor needs to have, it’s a crypto wallet. There are all kinds of different crypto wallets you can use.

9. The New AI Model Lets You Generate Music via Text Prompt

We recently covered a model able to imitate someone’s voice called VALL-E. Let’s jump a step further in the creative direction with this new AI called MusicLM. MusicLM allows you to generate music from a text description.

10. 6 Common Monetization Problems for Creators on YouTube

If you are a video creator looking for ways to make your videos work hard, you are not wrong in worrying about Youtube monetization issues. Read on to know the how-tos and what-nots of monetizing your videos.

11. Top 10 Computer Vision Papers of 2020

This is a video of the 10 most interesting research papers on computer vision in 2020.

12. Google's PaLM-E (AI Robot) Can See and Understand Language

Google's latest publication, PaLM-E, is an embodied multimodal language model.

13. OBS for Dummies : How to Record Your Screen

Wait... OBS..I have heard it somewhere.

14. Top 8 Machine Learning Content Creators on YouTube

Here are the top Machine Learning content creators on YouTube to follow for tutorials, deep learning, and more.

15. 'Why I don't eat out at restaurants, even as a millionaire' - TechLead

Ex-Google Tech Lead reveals the secret to why he doesn't enjoy eating out at restaurants, even as a multi-millionaire.

16. How to Get Started Streaming on Twitch

Twitch is a great place to learn in public. I'll cover tools, tips, and workflows to help you get started with streaming.

17. How to Turn Mockups Into Videos Instantly with This New AI Model

GEN-1 is able to take a video and apply a completely different style onto it, just like that…

18. 5 Gaming YouTubers That are Worth a Sub

There are far too many people sharing their opinions about gaming on the internet but not all of them are for us. These are some people who we enjoy the most.

19. Even Disney is Investing in AI: A Look at Face Re-Aging for Visual Effects

Whether it be for fun in a Snapchat filter, for a movie, or even to remove a few riddles, we all have a utility in mind for being able to change our age in a picture.

20. 6 Vlogging Tips For Business Success in 2020

Vlogging has taken the world by storm in recent years. It's just a way of blogging, using videos instead of text to reach out, create an audience, and share information.

21. 5 Gaming YouTubers That are Worth a Sub

There are far too many people sharing their opinions about gaming on the internet but not all of them are for us. These are some people who we enjoy the most.

22. Youtube Deletes Video About Bitcoin: Is This a Common Trend?

You would think that Youtube would at least wait till the holidays are over to hit its creators with this news but apparently, bitcoin and all cryptocurrency talk is now concrete himself and a danger to society. A lot of YouTube creators woke up to find many of their crypto-related videos taken down because youtube sees them as violating their guidelines.

23. How to Use GitHub Copilot with Your Voice

“Hey, GitHub” comes in the form of a VSCode extension and has many more capabilities accessible with your voice.

24. How to Ace ML Interviews: Get Your Foot in the AI Door

An interview with the Director of Perception at Zoox, Ruijie (RJ) He, with the goal of demystifying what is a good profile to get an ML engineer job and perform

25. 3D Articulated Shape Reconstruction from Videos

With LASR, you can generate 3D models of humans or animals moving using only a short video as input.

26. How to Set Up Aleph.im Virtual Machines

Nearing the end of 2021, most blockchain dApps still have large parts of their stack that are centralized. With Aleph VMs, you can decentralize the rest.

27. Let’s Play Ethermore: Part 1 – Exploring The Ruins of Nio Cegod

Ethermore's first-ever let’s play video is being used to showcase a possible new feature: AI-generated synthetic audio narration.

28. 5 Ways to Get More Likes on Your YouTube Videos

Business owners and marketers around the globe know that YouTube is one of the best places to connect with their target audience.

29. The Facebook TransCoder Explained: Converting Coding Languages with AI

This new model converts code from a programming language to another without any supervision!

30. The Best AI Articles of October 2022

Support vector machines, decision trees, and AI-generated content are some of the topics in the best AI articles of October.

31. ChatGPT Explained in 5 Minutes

ChatGPT has taken over Twitter and pretty much the whole internet, thanks to its power and the meme potential it provides.

32. 5 Strategies To Grow Your YouTube Channel

YouTube is the most popular online video platform as of now. Over hundreds of hours of content is uploaded every minute on this platform, and on average, the viewership crosses billions of hours every day.

33. YouTube Fake Crypto Giveaways Explained - Behind The Account Hacks

Maybe you have noticed that there is a lot of fake Binance, Ethereum, Ripple and Bitcoin Cash streams on Youtube lately. The crazy part is that those live streams are on a big accounts with thousands of subscribers.

34. 8 Tools Every Data Scientists Should Use

The most useful tools I use daily as a research scientist for finding and reading AI research papers

35. OpenAI's New Code Generator: GitHub Copilot (and Codex)

You’ve probably heard of the recent Copilot tool by GitHub, which generates code for you. Find out how OpenAI's AI generates code from words

36. Introducing DALL·E: Inspired by GPT-3 and Image-GPT from OpenAI

DALL-E from Open AI can generate images from text captions. It is very similar to GPT-3 and Image GPT and produces amazing results.

37. How to Optimize a YouTube Channel: 15 Effective Tips

Competing on YouTube isn’t an easy task. Here are 15 effective ways to optimize your channel. Follow these ways to optimize now.

38. PSG is a New Task for AIs Requiring Higher Levels of Understanding

Panoptic scene graph generation, or PSG, is a new problem task aiming to generate a more comprehensive graph representation of an image or scene based on panoptic segmentation rather than bounding boxes. It can be used to understand images and generate sentences describing what's happening. This may be the most challenging task for an AI! Learn more in the video...

39. Will Transformers Replace CNNs in Computer Vision?

This video explains how transformer architecture can be applied to computer vision with a new paper called the Swin Transformer.

40. Galactica is an AI Model Trained on 120 Billion Parameters

On November 15th, MetaAI and Papers with Code announced the release of Galactica, a game-changer, open-source large language model trained on scientific knowledge with 120 billion parameters.

41. DALL·E 2 Pre-Training Mitigations

You’ve all seen amazing-looking images like these, entirely generated by an artificial intelligence model. I covered multiple approaches on my channel, like Craiyon, Imagen, and the most well-known, Dall-e 2.Most people want to try them and generate images from random prompts, but the majority of these models aren’t open-source, which means we, regular people like us, cannot use them freely. Why? This is what we will dive into in this video...

42. This AI Can Separate Speech, Music and Sound Effects from Movie Soundtracks

Have you ever tuned in to a video or a TV show and the actors were completely inaudible, or the music was way too loud? Well, this problem, also called the cocktail party problem, may never happen again. Mitsubishi and Indiana University just published a new model as well as a new dataset tackling this task of identifying the right soundtrack. For example, if we take the same audio clip we just ran with the music way too loud, you can simply turn up or down the audio track you want to give more importance to the speech than the music.

43. Meta's Groundbreaking AI Film Maker: Make-A-Scene

Meta AI’s new model make-a-video is out and in a single sentence: it generates videos from text. It’s not only able to generate videos, but it’s also the new state-of-the-art method, producing higher quality and more coherent videos than ever before!

44. How YouTubers Can Improve Their Marketing Strategies in 2021

2020 with its lockdown affected both video creation and consumption, and that resulted in new rules in video marketing.

45. How to Spot a DeepFake in 2021

How to Spot a Deep Fake in 2021. Breakthrough US Army technology using artificial intelligence to find deepfakes.

46. What is the InfiniteNature-Zero AI Model?

This AI generates infinite new frames as if you would be flying into your image!

47. Efficient NeRFs for Real-Time Portrait Synthesis (RAD-NeRF)

We’ve heard of deepfakes, we’ve heard of NeRFs, and we’ve seen these kinds of applications allowing you to recreate someone’s face and pretty much make him say whatever you want.

48. DeOldify can Colorize your Black & White Photos with Full Photorealistic Renders

DeOldify is a technique to colorize and restore old black and white images or even film footage. It was developed by Jason Antic.

49. OpenAI’s DALL·E: Text-to-Image Generation Explained

OpenAI just released the paper explaining how DALL-E works! It is called "Zero-Shot Text-to-Image Generation".

50. How to Talk to ChatGPT: An Intro to Prompt Engineering

Prompting is pretty much the only skill you now require to be a master of these new large and powerful generative models such as ChatGPT.

51. This AI Prevents Bad Hair Days

This AI can transfer your hair to see how it would look like before committing to the change.

52. VOGUE by Google, MIT, and UW: The AI-Powered Online Fitting Room

Google used a modified StyleGAN2 architecture to create an online fitting room where you can automatically try-on any pants or shirts you want using only an ima

53. How Uber Uses AI to Improve Deliveries

How can Uber deliver food and always arrive on time or a few minutes before? How do they match riders to drivers so that you can always find a Uber? All that while also managing all the drivers?!

54. How to Create Realistic Slow Motion Videos With AI

TimeLens can understand the movement of the particles in-between the frames of a video to reconstruct what really happened at a speed even our eyes cannot see.

55. Text Embedding Explained: How AI Understands Words

Large language models are a specific type of machine learning-based algorithm that understand and can generate language

56. How to Create Realistic Slow Motion Videos With AI

TimeLens can understand the movement of the particles in-between the frames of a video to reconstruct what really happened at a speed even our eyes cannot see.

57. How Apple Recognizes People in Private Photos via Machine Learning

Apple uses machine learning to directly recognize people in private photos on your iPhones and iPad, without having access to your images for training.

58. Is Subjective Beauty Something We Can Model with AI?

This AI reads your brain to generate personally attractive faces. It generates images containing optimal values for personal attractive features.

59. Using AI to Detect and Count Plastic Waste in the Ocean

A deep-learning-based algorithm that is able to detect and quantify floating garbage from aerial images of the ocean.

60. Imagic: AI Image Editing from Text Commands

This week’s paper may just be your next favorite model to date.

61. Google Brain's New Model Imagen is Even More Impressive than Dall-E 2

If you thought Dall-e 2 had great results, wait until you see what this new model from Google Brain can do. Dalle-e is amazing but often lacks realism, and this is what the team attacked with this new model called Imagen. They share a lot of results on their project page as well as a benchmark, which they introduced for comparing text-to-image models, where they clearly outperform Dall-E 2, and previous image generation approaches. Learn more in the video...

62. Combining CNNs, GANs, and Transformers to Outperform Image-GPT

Researchers combined the efficiency of GANs and convolutional approaches with the expressivity of transformers to outperform Open AI's Image-GPT

63. Introducing Total Relighting by Google

In a new paper titled Total Relighting, a research team at Google presents a novel per-pixel lighting representation in a deep learning framework.

64. What is Data Science like at NVIDIA?

What is it like to work in big companies like NVIDIA, and how to get there?

65. How to Create Realistic Slow Motion Videos With AI

TimeLens can understand the movement of the particles in-between the frames of a video to reconstruct what really happened at a speed even our eyes cannot see.

66. What is OpenAI's Whisper Model?

Have you ever dreamed of a good transcription tool that would accurately understand what you say and write it down? Not like the automatic YouTube translation tools… I mean, they are good but far from perfect. Just try it out and turn the feature on for the video, and you’ll see what I’m talking about.

67. An Intro to eDiffi: NVIDIA's New SOTA Image Synthesis Model

eDiffi, NVIDIA's most recent model, generates better-looking and more accurate images than all previous approaches like DALLE 2 or Stable Diffusion.

68. How Waymo Combines Lidar and Cameras for 3D Object Detection

Let us talk about how autonomous vehicles 'see' the world.

69. NVIDIA and Tel Aviv University's Approach to Conditioning Text-to-Image Models

Text-to-Image models like DALLE or stable diffusion are really cool and allow us to generate fantastic pictures with a simple text input. But would it be even cooler to give them a picture of you and ask it to turn it into a painting? Imagine being able to send any picture of an object, person, or even your cat, and ask the model to transform it into another style like turning yourself into a cyborg of into your preferred artistic style or adding it to a new scene.

70. New SOTA Image Captioning: ClipCap

We’ve seen AI generate images from other images using GANs. Then, there were models able to generate questionable images using text. In early 2021, DALL-E was published, beating all previous attempts to generate images from text input using CLIP, a model that links images with text as a guide. A very similar task called image captioning may sound really simple but is, in fact, just as complex. It is the ability of a machine to generate a natural description of an image.