What are Generative AI models?

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Generative AI has stunned the world with its ability to create realistic images, code, and dialogue. Here, IBM expert Kate Soule explains how a popular form of generative AI, large language models, works and what it can do for enterprise.
#LLMs #GenerativeAI #FoundationModels #EnterpriseAI #Watsonx

[@rickpower88]

Kate, this was awesome. It is so refreshing to find presenters who can take complicated material and explain it, in just a few minutes, in a fashion that makes it so reachable.

[@Dardjiskien]

So far, by far the best video on Generative AI I’ve seen.

[@naturallyfun7543]

Great explanation at a very basic level, very easy to follow the whole video. Thank you very much.

[@maruthuk]

Over the last week, I have been trying to find out the differences between Generative AI and Foundation Models, but could not find the relevant and exact content and this one video has cleared all of that, too good!

[@bishopoftroy]

The explanation i`m assuming is great for a technical person which knows already a lot about generative ai models but for the larger public you need to explain it way simpler and not using technical terms. Analogies help a lot.

[@mouradtaqui6881]

Great presentation. Make such a complex topic seems affordable, means that there a lot work behind! Thanks

[@s2r2420]

Great insights into the concepts of Generative AI. Thanks

[@MrTrollnba]

Very very... very good video. How to use 9 minutes to understand the concepts of Generative AI, Foundation Models, Large Langage Models, etc. Awesome !

[@TheSnerggly]

I love that this is on KZbin for free, thank you very much for a great basic understanding! :)

[@donaldpitre615]

As an IBM Employee this video makes me proud ❤

[@CamiloSanchez-yi4ee]

Outstanding presentation, thank you IBM

[@ARATHI2000]

Thank you so much for the introduction to a very important topic.

[@janmejay.]

Thanks Kate for this awesome video. Interesting to see the vast use cases of generating AI other than chatbots.

[@proteus5]

When I was a kid in the 60s our local TV weatherman (Ralph Ramos) actually wrote like that for real. He stood behind a clear panel with a map outline and used a grease pencil to write temperatures on it backwards.

[@AnotherFancyUser]

you know she is not writing backwards right?, that is the whole idea of writing on a piece of glass and invert the image.

[@AnotherFancyUser]

It is called lightboard or learning glass, btw you can ask gpt about it...

[@kennylaikl299]

The most concise summary / explanation of what is Generative AI 👍💯

[@zeeshawnali7187]

These videos are simply amazing, thank you IBM.

[@definitelynorandomvideos24]

These videos are really amazing and deserve waaaay more attention and credit. IBM Technology, you are doing a great Job!

[@gigabytechanz9646]

Very clear and systematic introduction! Thanks

[@Cuervaud]

Very very clear presentation! thanks!

[@user-km4vf9uw2x]

Excellent presentation Kate ! Thank you !

[@sbanerjee2005]

Outstanding explanation. Thank you!!! Please continue such great work.

[@arifulislamleeton]

Thank you

[@christopheryoungbeck8837]

Intern Jr. GenAI Engineer here. You make me understand the larger scope of what Im doing.

[@VaibhavPatil-rx7pc]

Excellent explanation, top of top

[@lufiporndre7800]

She just example the whole AI bubble , so awesomely, Kate great job, the best video I have watched so far on the internet. 👏👏👏

[@vaidyanathtdakshinamurthy8732]

Fantastic presentation and a great way to promote IBM offerings.

[@shimmeringreflection]

Excellent presentation. My only gripe is the masses will still think generative AI is simply predicting the next word, one of Jeffery Hinton's concerns. There's a lot more to it than that. When you ask a question, it needs to identify related material in the dataset and then construct specific parameters of the neural net in a way that addresses the structure and meaning of your input that makes sense. Kind of like what we do when we piece together sentences based on our experience. That requires great intelligence. This is why GenAI can already outperform humans in many academic and operational benchmarks, and it's beating us humans in more and more of these by the month. Once you go fully multimodal in these endeavours, we'll very quickly reach AGI.

[@samindj]

Didn’t she mention this during 3:20?

[@michaeldunlavey6015]

I'm a '70s AI guy. I have done many parsers and translators. I have done old-style theorem proving and structure learning. I keep asking myself, in this multi-layer perceptron formulation, how is the parse tree represented? How are logic statements represented? How is knowledge manipulated? All I seem to get is generalities about training and "the next word". Where should I be looking?

[@quonxinquonyi8570]

Isn’t generative ai another fancy name for “sampling” and learning the “ distribution” that generates it..... Facebook has already done it and zuck got called in for hearing doing this....now they are selling it with a new label with black box function approximation power of neural networks

[@caspermok]

All about is prediction. It just feels like to be generating to most people.

[@aaronchongcs]

Thanks Kate to simplifying the AI model explanation to general layman, interesting time to be in to see how AI is evolving like what science fiction movies have predicted all these year to become a reality.

[@lamboseeker238]

Have you actually watched those movies.

[@lemuhuru]

@@lamboseeker238 There are less dramatic movies like 'Her' which paint a more realistic use case of Ai rather than the Terminator. I suggest you watch that which is relevant to the current Ai Assistant market. The "Machines Take Over the Universe" plot is a dystopic fantasy not rooted in reality.

[@vietngyn6078]

Very nice insights into the topic. Well done Kate

[@Kunal4980]

Very precise and accurate video explains things clearly whats gonna up in future ! - thanks Mam.

[@user-qc9ms9hp6j]

Great explanation. Thank you.

[@johnwinstondarby]

Your writing in reverse is surprisingly skillful; great coverage of models. Thank you

[@wungus-bongo]

It's reversed dear

[@Milad_digital]

@@wungus-bongo how does it work then?

[@titoadesanya9369]

@@Milad_digital look it up, it involves mirrors and other screens

[@vriverad]

@@titoadesanya9369 thanks I was not able to concentrate in the topic because it kept distracting me LOL

[@CJSingh]

@@vriveradsame problem with me.. how they create these videos.. ?

[@chanchalsinghjamwal]

Kate, this is really highly informative and one of the best videos I came across for gen ai.

[@sweetspotdrummer]

Interesting. Generative A.I: "predict the last word of the sentence based off the words it saw before". My very first A.I. program in college (ages ago) was a game "guess what I'm thinking". For each wrong guess the program was given a clue, thus building its knowledge-base. Prompt: What are you thinking of? (input: animal) (program: shark) (no. hint: mammal) (program: dog)(no. hint: has a trunk)...(no. hint: large ears)....(no. hint: grey) (program needs the answer: elephant). The program now has the definition of an elephant. Without knowing much about Generative A.I. it seems similar except "on steroids", lol "on the internet of data". Will have to follow the links above to learn more. Kate Soule, great explanation. Thanks.

[@COSMOPOLITANWORLD]

I loved it! Thanks for this amazing video :)

[@akaratrujirasettakul7367]

Thanks. Easy to follow for non-tech. Great!

[@tothespace4493]

Was just amazing, thanks.

[@mikerae-design]

Awesome Introduction! Looks like I'm hooked on this topic.

[@SpineTwister]

then you're fish since you got hooked

[@ivanrodriguezc]

Thanks IBM Research Team, this videos are amazing as a learning resource

[@anvogel99]

Like your podcasts(?) guys! Awesome!

[@ayusharora2019]

Amazing explaination!!

[@femiidowu794]

Good Job Kate. Also, good use of the whiteboard and colour annotations. It helped that you also used simple language, didn't over-crowd the whiteboard and effectively used spacing between the concepts, as well as with the groupings for the workflow components ie: (FM /Prompting on the right of the board) , from the (LLMs)concepts on the left hand-side of the board. Thanks for sharing your gift of teaching. your contribution is appreciated. If you have a course or workshop that you teach on GenAI, I would be interested in learning more. (hint, hint) Cheers

[@jonathancooper7068]

Excellent explanation.

[@christianfaust5141]

Thank you that was very helpful

[@videovideoguy]

Great explanation about the Generative AI Models I think your last proposition will make a great impact to the human kind with the help of Generative AI

[@bluewaterboof82]

I’m more impressed that they mirrored the video so that her handwriting was flipped around for us.

[@IBMTechnology]

See ibm.biz/write-backwards for more

[@aswinvasudevan4456]

Really well explained

[@syn9ro]

Because the video is flipped horizontally, the text she writes may appear readable. This is a clever solution. Additionally, wearing black or dark clothes could further improve the text's readability.

[@NorthernGateway72]

Kate, great video!

[@satyabatchu4761]

This video offers concise and informative insights into the AI journey, perfect for those who are new to the topic and seeking a clear understanding

[@4jjutube]

Very well explained

[@catursura9168]

very well explanation for beginner like me

[@sunramaroc]

good work and fluid presentation, many thanks

[@philippeko-IBM]

Are the 2 latest foundation models you mentioned, molformer and Earth Science for climat change, available as demos?

[@CasioArtist]

Very Well Explained !

[@DougWhitehead31]

I think I can make a slight correction here. Let me know if I'm wrong. The idea of "generative" in Generative AI isn't the ability to "generate" the next word, but in that the model is able to generate new observations (or data points) based on the distributions in the data. As she describes, LLMs are part of the idea of foundation models, and LLMs are the NLP derivative of FMs that are able to sample from those distribution of words (or tokens).

[@vishalamle8330]

Thanks… I was bit confused at 1st view of the video and then just saw your comment and it clicked me that missing part… No doubt she has explained the very complex concept in the most easy to understand manner…

[@kuljitchahal3570]

In an NLP setting, predicting next token is actually generating a new observation.

[@ivanleon6164]

is just like she said according to what i have read. but would like an expert to give input.

[@householdyang80]

It's the same thing. You're just talking about a different shade of grey, there's like at least 50 shades.

[@sussechandrasekaran7959]

yup!

[@hanimahdi7244]

Informative video. Thanks

[@Cute_Baby_Reacts]

Good Explanation Kate.

[@NK-iw6rq]

Excellent explanation and breakdown by Kate, brilliant woman !

[@ruchiiklambaa5325]

Great content explained with simplicity!

[@davidlowe8597]

Great video!!! IBM used to be the undisputed leader of computer technology. Would be great to see Big Blue back in the game and become a leader again!!!! (Apple's market cap 2 trillion dollars, Nvidia's market cap 1 trillion dollars, IBM (the former world leader of computer technology) 120 billion dollars). Hope to see a publicly-available LLM from IBM soon!!!!

[@eugiblisscast]

using this to study for university, thank you!

[@erickcoelho408]

I just love this videos

[@romshes77]

I know someone else who wrote inverted..he also painted well. impressive

[@abdelrahmane657]

Excellent. Thanks

[@kartheeksingle]

thanks kate this is useful to me.

[@jorgemat1955]

Great Video. Very Clear. Thanks.

[@JJs_playground]

As impressive as AI is, Kate writing inverted is just as impressive.

[@vinallu]

I got distracted when she wrote LLM and for the whole 8+ mins my full attention was how is she doing that.

[@shutterbug-sr]

@@vinallu same here, I was wondering whether a different technique was used for the whole production. I am still curious - whether she is writing inverted or some interesting technology here ?

[@goodtech_rules]

@@shutterbug-sr its called lightboard, learning glass, etc. - It's current state of the art presentation technology.

[@safiya4339]

@@goodtech_rules . Thanks! "A lightboard allows a presenter to write and draw while maintaining eye contact to deliver their message in a natural and engaging way. Video is filmed through the glass and mirrored so the orientation appears correct to the viewer"

[@judfrench331]

I was thinking the same thing!!

[@saikatnextd]

I think I have a different viewpoint on the fact that Foundational model are a part of Generative AI ( 2:35), foundational models can drive predictive AI as well as Generative AI depending on the type of Neural Nets we use, as the name suggests it acts as a foundation for both alongwith customisation & automation.

[@jingyiwang5113]

Thank you so much for such an amazing video! It is informative, helpful and engaging. 😀

[@DarkSkay]

This "blackboard" is so good :)

[@chilldudesam]

Very informative; thank you!

[@LasseVagstherKarlsen]

Can we take a second just to appreciate the skill necessary to write proper readable handwritten text in reverse?

[@kedarjoyner2861]

I would assume the video is inverted after being filmed? 🤷‍♀️

[@lucianobandeira8434]

Awesome. Thank you

[@selocan469]

Yes, really informative. Thank you.

[@lawyerwarrior]

Great info Kate. What kind of White Board are you writing on? It's so cool!

[@milkessanegeriofficial]

Truly nice way of explaining. .

[@roger_is_red]

nice video!!

[@user-go1xy5hm8f]

Good explanation

[@mahawewar.dimanthi810]

They have uploaded the mirror of the complete video lecture ☺️

[@curiousphilosopher2129]

Book Recommendation: "A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)."

[@slepynewbie]

Outstanding explanation, I'm even more impressed for your hability to invert your writing effortlessly... mindblowing! congratulations!

[@Daniel-dz5jb]

I was thinking the same. Then considered that if she were to write on the glass board 'normally' and then flip the video horizontally, it'd appear as if she was writing in reverse and flipped at the same time. Not as impressive as a skill, tho...

[@traceywilliams7277]

Exactly!! I kept getting distracted by that!!

[@amparoconsuelo9451]

Is there an assembly LLM kit sold in Amazon that I could assemble and understand?

[@sabuein]

Thank you.

[@and_I_am_Life_the_fixer_of_all]

69th comment! As a researcher, it feels nice to see IBM will be researching with me this great new innovations! Best of luck IBM, you are going to need it!

[@billh17]

@1:55 Isn't the training supervised rather than unsupervised? It is predicting the next word that follows the given text: the next word is known.

[@GibranCastillo]

Thank you, for the nice presentation

[@Hemanthg7]

amazing and great presentation

[@jogoeire]

Quality vid IBM.

[@trando3168]

Great explanation of course! I'm also equally impressive with her (mirror ?) writing skill.

[@IBMTechnology]

See ibm.biz/write-backwards for more details

[@oneofpro]

Thanks

[@animanaut]

as for the Trust issue, is there some kind of "bill of meterials" for what has been processed which could be reviewed? i think this would be crucial for transparency

[@VegascoinVegas]

I believe you are looking for what is called a Facts Sheet which is part of AI Governance

[@TheTuubster]

It can not only used to perform tasks. The real revolution: It can be used to check the abuse of power. Formulate a prompt beginning with "Evaluate the following scenario: xxx" and replace xxx with a description of an abusive situation in a family, at school or at work. The AI will pretty clearly point that fact out to the one being abused. So buckle up if you are someone who bullies and gaslights others: AI will make your abuses transparent within seconds once someone takes out the phone and describes what just happend. THAT is one of the revolutionary aspects of AI.

[@VegascoinVegas]

I think you just described the nightmare scenario. AI will not only replace the acting talent. AI will replace the writing talent for content that is created for the largest, lowest common denominator female viewing audience in America. Because that is the most profitable demographic. You would be saying that AI will stand up to the intellectual dishonesty and the gaslighting that is used in content to reach the largest lowest common denominator female viewing audience in America. I disagree. It will be amplified to new levels. I am not saying that women reject intellectual honesty. But I am saying you can never capture the most profitable demographic with intellectual honesty. You capture that audience with emotion porn.

[@vishalmishra3046]

In future, large language models can generate high quality training data for a small language model and replicate their capabilities in a small model. Many children grow up and become smarter, wiser, richer/wealthier than their parents by growing up and learning in a relatively newer and better world. Similarly, LLMs will reproduce advanced capabilities into smaller models which will grow and eventually reproduce, leading to significant break-throughs.

[@timapple9580]

Thank you! I also commend your ability to write backwards so legibly

[@vinasi1]

Great explanation.

[@SwadeshiKitchen]

Nice .. are you writing over mirrors or this is some digital tool

[@bastost]

Great!

[@thepowerofpositivethinking2593]

Its highly impresive

[@aaronleejohnson007]

I've been studying and getting certifications in Prompt Engineering, Mathematics, Coding, Data Science, Open Artificial Intelligence, Machine Learning, Deep Learning, and Neural Networks for a few years now. I can't find a job anywhere. When I'm in a interview and talk about the cost saving benefits and increase in productivity using Artificial Intelligence and automation, they usually end the interview right away and send a Dear John letter that they went with another candidate.

[@markov1917]

Doesnt that tell you something