AI, Machine Learning, Deep Learning and Generative AI Explained

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Information AI, Machine Learning, Deep Learning and Generative AI Explained

Title	:	AI, Machine Learning, Deep Learning and Generative AI Explained
Lasting	:	10.01
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Good one, Thankyou for the Explanation
Comment from : @HalfTruthTales

А если уже 3 раза прокрутил, есть шанс что получится 4ый?
Comment from : @ffff-e2z

Thank you sir❤
Comment from : @MDTamim-ie3or

Great explanation, poor grammar A basic common mistake to include apostrophes in date plurals like 1980s, 1990s But hay, enginears aint great spelers eh
Comment from : @courtenayrowett7058

and the conclusion is: gen ai and predictive AI applied to LLM's as we know them is THEFT Copyrighted material included in learning models without permission and compensation to authors (people or companies) is THEFT, plain and simple And Microsoft and OpenAI don't care I hope they get stopped by the courts
Comment from : @JakeBezemer

I must be a genius because I've always been told that I have artificial intelligence!
Comment from : @edgarlg345

Ibm, you should post names of instructors so that we can connect with them on LinkedIn
Comment from : @misbahzarrar5487

Which tools do you use to create these videos
Comment from : @DrCupidLucid

Muchas gracias por este contenido tan relevante y claro ¡Un gran maestro!
Comment from : @dcarojurado

I want to join your apps sir
Comment from : @Companyellivera

Thank you for these videos kind sir, you are helping so many of us become informed and educated Have a blessed day
Comment from : @BradenAdsett

The video has absolutely given a vivid explanation on AI Love it!
Comment from : @ndipmodavid5348

Great explanations! Goodmjob and you have my thanks
Comment from : @eboytc

🎯 Key points for quick navigation:brbr00:00 bThe video aims to clarify the distinctions between AI, machine learning, and deep learning, and to address misconceptions following a previous video on the subject/bbr00:33 bSince the last video, generative AI, including large language models, chatbots, and deepfakes, has rapidly evolved and become ubiquitous/bbr01:03 bSimplification is necessary to explain these complex technologies; experts should note that some generalization will occur/bbr01:30 bAI aims to simulate or exceed human intelligence, focusing on learning and reasoning Initially, AI was a niche research area that became more mainstream with technologies like expert systems/bbr02:29 bMachine learning automates learning by identifying patterns in data, beneficial for tasks like predictions and spotting cybersecurity threats/bbr04:01 bDeep learning involves neural networks that mimic the brain's structure using multiple layers, often yielding unpredictable outcomes that are hard to fully decipher/bbr06:00 bGenerative AI leverages foundation models, such as large language models, to predict and generate text, sometimes misunderstood as merely reformatting existing information/bbr07:55 bGenerative AI also includes audio and video models used in deepfakes, serving both creative and potentially unethical applications/bbr08:52 bThe rapid growth of generative AI has heightened AI's visibility and adoption, highlighting the importance of understanding and leveraging these technologies responsibly/bbrbrMade with HARPA AI
Comment from : @JoelOrozco-q6d

good job super comprehensive and dense tho for my stomach!
Comment from : @scientistgeospatial

How is he writing in opposite direction so fluently
Comment from : @BibaswannBandyopadhyay

Note too, the universe is being researched for being organic support, thus a decision maker some how?brbrAn electrical impulse is not a thought process realistically, brbut heat is warmed to grow on,brand not so much dissipation,brA Chicago neighbor for your future success to simplifying the world
Comment from : @rayjasmantas9609

If you can make a video of Predictive AI vs Generative AI, it would be really helpful
Comment from : @TheFinFriends

Very cohesive explanation and simple to understand Would also have been nice to illustrate the applications of ML, NN, DL such as automation, OCR, Anomaly Detection… as these are working applications that also constitute AI because they mimic human capabilities and do not require FMs
Comment from : @manucapel

🚀 “We Fixed AI! 🔥 Watch AI expose itself & see why truth verification is the future #WeFixedAI #AITruth #AIRevolution #ArtificialIntelligence #WhoControlsAI #AICensorship”
Comment from : @MasterControls

You DO realize that AI actually stands for ARTIFICIAL IGNORANCE, right?
Comment from : @Brixhead

Very good articulation and clear explanation! Thanks for this video
Comment from : @hariharana7490

Great
Comment from : @itsedeokhai814

Excellent explanation!
Comment from : @kolanakorigne5008

This is a succinct and lucid explanation of these concepts Thank you
Comment from : @mthoncube1597

Great vid! Lots of information with very little techno-babble I like his style
Comment from : @jimjohnston6848

What I can say: Thank you 🙂
Comment from : @YahiaZagad

Great video, but it would be even better if you gave kudos to NVIDIA GPUs for triggering the Deep Learning surge in 2011, and acknowledged Google's 2017 Transformer architecture as giving rise to the LLM era
Comment from : @HistoricHarpersFerry

So no one is going to talk about how this guy is writing backwards?
Comment from : @prodbytiger

I like his way of explanation
Comment from : @QPT

How do they make this video 😅
Comment from : @hamlaouibelaid177

YOU ARE SUCH A GOOD TEACHER!!! God Bless YOU
Comment from : @tameenyaki5716

It might be nice to say, AI series of events will analysis something, and bring it back to simple understandment
Comment from : @rayjasmantas9609

Jeff Crume is a natural-born teacher
Comment from : @ImtiazKhan-h9k

It's the first time I could actually understand the topic Thanks for teaching!🙏
Comment from : @komalharsh695

Your energy makes this so much fun!
Comment from : @RiftborneVerdictSeeker

How are we seeing your writing non-mirrored if you are writing straight towards the screen??😊
Comment from : @bhishankhatiwoda7537

Using AI is the next big thing and so, I would like to share a tool I am using in making great contents for my channel Rephrasy AI is just great because it enables me to create videos relevant to what I am posting
Comment from : @andredrummo

There is nothing I've found that explains how "AI" differs from the same ole data retrieval methods we've been using for decades, other than it's faster These "Neural Networks" are just collections of data The Foundation Models are collections of analytical data The biggest difference is how fast it moves now In the past, it might take hours for a search to return a meaningful result that can now be done in fractions of a second
Comment from : @ChadHargis

Comment from : @JoanthanMcclellan

Best video about AI! And the speaker is the BEST! Thank you for such a good video!
Comment from : @MJ-qg6bx

Thanks
Comment from : @dearaujosilvanio3755

Do you think AI can ever replace human?
Comment from : @User-og2cm

Well done
Comment from : @Ariel-lt8ln

Thank you, Jeff Crume,
Comment from : @KodjoAbalo-d5c

that's very perfect and good
Comment from : @habibaabdelnady

Sounds like IQ tests
Comment from : @eleonoraformatoneeszczepan8807

Excellent presentation
Comment from : @mohammadkasim6370

🙏🏽 for simplifying it You are wonderful teacher sir
Comment from : @MammaR

Awesome
Comment from : @bristyislam3349

Nicely explanated and understoodfor a begineer like me
Comment from : @Tou724

very interesting explanations on the topic
Comment from : @youtube_thenguyen3797

The Terminator movie was a prediction and warning
Comment from : @louisvuitton56

excellent explanation
Comment from : @truongpm2144

thanks it is easy to understand and clear concept
Comment from : @kenthou3473

forget the AI, how is he able to write on a glass wall backwards
Comment from : @hidarikani

Thank you so much I really like the way you explain things Very simple but elegant
Comment from : @Justice126

In this human world we need to develop loving kindness and compassion in our human hearts and minds! We don’t need faaaakkking stupid you made machines developing! Design for destroyed! Meanly America and China making this human world became crazy!! The world shouldn’t practice these two countries crazy crestings!! Be human! Be good human! Be kindness! Be compassionate!
Comment from : @བོདཁབཅན

Can you give us a simple AI example for comparison that is solved using classical and modern DL-based AI techniques? For example, how would you generate the next word to complete a sentence using the classical techniques, ie perform GenAI using classical techniques?
Comment from : @danishm3417

Great overview Bravo
Comment from : @duncanidaho6151

[06:05] The way you explain things makes it so easy to understand Keep up the amazing work! 👍
Comment from : @TechTalksAI_1608

a lot of my queries got resolved
Comment from : @riyajohn_vlogs

great overview, Thanks!
Comment from : @KingKoin88

Thnx jeff 🎉🎉🎉
Comment from : @mhmdnayef710

This was good short explanations As a Data Scientist myself, i often face challenge to give simpler explanations given that i am into technical stuff more
Comment from : @azharkhan-on2sd

👏👏👏👏👏👏👏👏👏👏👏❤️❤️❤️❤️😍😍😍😍
Comment from : @praveeshrprathnakaran6242

If I make an AI, I would like to see it talks the way you do! Because your course very fluent, structured, insightful and motivating!
Comment from : @serkanozkani

I am going to watch all the videos the content is awesome, and the way the speaker has explained everything is fabulous
Comment from : @rohitkrmaurya6917

Everything is “AI” Someone will make a new JPEG algorithm and call it AI
Comment from : @artimes5542

I found this video very informative
Comment from : @WendyBartlett-n2t

This was very good and easy to understand Thank you
Comment from : @janiceharps5833

When do you think you will develop digital consciousness, I think you call it super general intelligence? What you are doing is cognitive capabilities, why are you calling it Ai, it’s the wrong semantics?
Comment from : @hassankhorshid340

Clear and concise
Comment from : @markryan2421

Excellent basic introduction to AI advancement
Comment from : @bhaskaragate6494

The fact that humans think we are ready for advanced ai, is proof that we deserve every negative side affect we get from it
Comment from : @Hurpdurpdipidydoo

One of the best video that gives a crisp introduction to the AI landscap 👌👌👏👏
Comment from : @Jeetendrak

Do you posess IBM ? if not wouldnt an ai tell ubr 'you are a sucker' ?
Comment from : @JeanSarfati

Can i find more of his simplified videos PLEASE!!!!!!!!
Comment from : @123maka1

Afternoon In the field of commercial motor vehicles, the well-established pair of power sources (petrol and diesel) have been challenged recently by variants of new renewables (EVs) Does your diagram indicate that within the field of AI there are about seven major 'approaches' to doing AI, each of which involves domain experts (human) who very rarely profess to the creation of technical gadgets that understand the heterogeneous world in the ways we can try to understand it? Neil R, Kirkheaton
Comment from : @NeilRichardson-j9b

Excellent
Comment from : @arzutyilmaz1971

fascinating thank you - looking to get certified in AI
Comment from : @AdamTaylor2footgiraffe

Great breakdown of AI, machine learning, and deep learning! How do you think generative AI will impact industries like entertainment or cybersecurity in the near future?
Comment from : @AILabHQ

In my understanding, the basic building block of Al is NN I would like more time devoted to that issue in an AI video
Comment from : @joseriera3638

All intelligence that is recorded is intelligence that Artifical brains have assessed to and can relay
Comment from : @62ndcombatengineerSpecialist

thanks for briefing❤
Comment from : @Pavithra_cs

THANK YOU! But how have you made this video/ the writing? I'm confused hahaha
Comment from : @LeylaIzmir

Such a beautiful way to explain a topic, I really wanna see this kinds of explanation type content Thank you✌
Comment from : @AmazingPrit086

Rather than just pressuring LLMs to get closer to explicit reasoning, why not actually implement inference and planning, the way we implement arithmetic?br wwwcovingtoninnovationscom/books/PPIDpdf
Comment from : @michaelacovington

Absolutly mindblowing
Comment from : @qudratfayyazi

Wow! What a presentation With grace , simplicity and poiseeasy to listen to, follow and understandbrGood job 👍
Comment from : @phinehasdzeani3189

⭐️
Comment from : @robertprawendowski2850

🎯 Key points for quick navigation:brbr00:00 b🤖 The video aims to clarify the differences between AI, machine learning, and deep learning, and address common misconceptions/bbr00:33 b🧠 The recent explosion of generative AI, including large language models and chatbots, has brought AI to the forefront of technology/bbr01:30 b🌐 Artificial intelligence (AI) aims to simulate human intelligence with a computer, focusing on learning, inference, and reasoning/bbr02:29 b🧑‍💻 Machine learning algorithms learn from data, identify patterns, and make predictions without being explicitly programmed/bbr03:00 b📊 Machine learning is particularly good at predictions and spotting outliers, which is useful in fields like cybersecurity/bbr04:30 b🧠 The concept of machine learning was not widely recognized until the 2010s, despite its earlier development/bbr05:00 b🕳️ Deep learning uses neural networks to mimic the human brain, with multiple layers leading to complex and sometimes unpredictable results/bbr06:00 b👓 Foundation models, like large language models, are a subset of generative AI that can predict large chunks of text or content/bbr06:56 b🎨 Generative AI, while debated as "regurgitative," can create new content, akin to composing music with existing notes/bbr07:55 b🎭 Deepfakes and audio models are examples of generative AI that can recreate voices or generate new video content/bbr08:52 b🚀 The adoption of AI has accelerated with the advent of foundation models and generative AI, leading to widespread use in various applications/b
Comment from : @KungShinJie