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.
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.
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?
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
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!
What's exciting is how they can understand context and produce human-like outputs. I've been experimenting with some basic models myself, and it's amazing to see how they can complete sentences or even write short stories.
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.
Very very... very good video. How to use 9 minutes to understand the concepts of Generative AI, Foundation Models, Large Langage Models, etc. Awesome !
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.
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.
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.
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
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 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.
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.
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.
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).
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…
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
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!!!!
@@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 . 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"
She writes inverted, works on time machines, teaches AI to be awesome, has robots at home that take care of her cats but hasn't found the doodle apps that make her illustrations quicker.... Impressive. Jokes aside, very cool topic, really is a fascinating time to be.
thanks to ch*tgpt i've finally been able to build my own RNN in c/c++ and dozens of other things. simple series prediction (audio spectral extension) took a few hours to train a FFNN to satisfactory results, but training a RNN on 96 input "hot one" text chars has taken over a month to train on my little asus L210 and i'm maybe a third of the way based on loss. there's one thing i've observed in decades of procedural media programming, procedure tends to express outside of human discretion and can expand or distend our experience and concept of expression. plus, per burroughs' cut-up method, you do tend to get a bit of EVP and transduction in procedure. aheheh.
but yeah i was looking forward to swiftly crosstraining my text model once trained :P initial input an analysis of childs' fairy tales and an eloquent and wordy sufferagist were the best open source i could find. relly tho you know i oughta just put out a few words eh.
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...
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.
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.
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.
I just listened to the first half of it, so far. Why is it that you're trying to predict the next word rather than give understanding to the computer program?
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.
Generative AI is just another tech scam like NFTs, Dogecoin, etc. My 3D art videos on my channel are better than anything AI can "generate" 😆🤣😎
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.
Generative AI is just another tech scam like NFTs, Dogecoin, etc. My 3D art videos on my channel are better than anything AI can "generate" 😆🤣😎
I only just began watching your video, and I am already impressed by your ability to legibly right backward on the transparent wall in front of you.
So far, by far the best video on Generative AI I’ve seen.
Generative AI is just another tech scam like NFTs, Dogecoin, etc. My 3D art videos on my channel are better than anything AI can "generate" 😆🤣😎
Best tech explanation I’ve ever heard - I am not a techie and I understood everything she said
As an IBM Employee this video makes me proud ❤
Generative AI is just another tech scam like NFTs, Dogecoin, etc. My 3D art videos on my channel are better than anything AI can "generate" 😆🤣😎
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?
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
All about is prediction. It just feels like to be generating to most people.
Intern Jr. GenAI Engineer here. You make me understand the larger scope of what Im doing.
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!
What's exciting is how they can understand context and produce human-like outputs. I've been experimenting with some basic models myself, and it's amazing to see how they can complete sentences or even write short stories.
It doesn't make sense at first, but at the end it all links. Thank you IBM.
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.
Didn’t she mention this during 3:20?
Generative AI is just another tech scam like NFTs, Dogecoin, etc. My 3D art videos on my channel are better than anything AI can "generate" 😆🤣😎
The most concise summary / explanation of what is Generative AI 👍💯
I love that this is on UA-cam for free, thank you very much for a great basic understanding! :)
Generative AI is just another tech scam like NFTs, Dogecoin, etc. My 3D art videos on my channel are better than anything AI can "generate" 😆🤣😎
These videos are really amazing and deserve waaaay more attention and credit. IBM Technology, you are doing a great Job!
Your writing in reverse is surprisingly skillful; great coverage of models. Thank you
It's reversed dear
@@wungus-bongo how does it work then?
@titoadesanya9369 thanks I was not able to concentrate in the topic because it kept distracting me LOL
@@vriveradsame problem with me.. how they create these videos.. ?
Generative AI is just another tech scam like NFTs, Dogecoin, etc. My 3D art videos on my channel are better than anything AI can "generate" 😆🤣😎
Very very... very good video. How to use 9 minutes to understand the concepts of Generative AI, Foundation Models, Large Langage Models, etc. Awesome !
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.
you know she is not writing backwards right?, that is the whole idea of writing on a piece of glass and invert the image.
It is called lightboard or learning glass, btw you can ask gpt about it...
Generative AI is just another tech scam like NFTs, Dogecoin, etc. My 3D art videos on my channel are better than anything AI can "generate" 😆🤣😎
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.
I’m more impressed that they mirrored the video so that her handwriting was flipped around for us.
See ibm.biz/write-backwards for more
Very interesting education - Thanks for this presentation
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.
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
I am impressed how she is writing all of this backwards so we can see it correctly :)
See ibm.biz/write-backwards
Great explanation at a very basic level, very easy to follow the whole video. Thank you very much.
Just loved the content and especially the clarity in which it was delivered.
She just example the whole AI bubble , so awesomely, Kate great job, the best video I have watched so far on the internet. 👏👏👏
Kate, this is really highly informative and one of the best videos I came across for gen ai.
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
Fantastic presentation and a great way to promote IBM offerings.
using this to study for university, thank you!
Can we take a second just to appreciate the skill necessary to write proper readable handwritten text in reverse?
I would assume the video is inverted after being filmed? 🤷♀️
Thanks. Easy to follow for non-tech. Great!
Excellent explanation and breakdown by Kate, brilliant woman !
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.
Have you actually watched those movies.
@@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.
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.
Doesnt that tell you something
How are my just discovering this channel. Cane across the deep learning video yesterday and this today. Thumbs up
Thanks Kate for this awesome video. Interesting to see the vast use cases of generating AI other than chatbots.
Book Recommendation: "A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples)."
great video around the Gen AI model, Thanks
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.
Great presentation. Make such a complex topic seems affordable, means that there a lot work behind! Thanks
I know someone else who wrote inverted..he also painted well. impressive
Very clear and systematic introduction! Thanks
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).
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…
In an NLP setting, predicting next token is actually generating a new observation.
is just like she said according to what i have read. but would like an expert to give input.
It's the same thing. You're just talking about a different shade of grey, there's like at least 50 shades.
yup!
Great insights into the concepts of Generative AI. Thanks
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
There is something really special here.
Thank you! I also commend your ability to write backwards so legibly
They have uploaded the mirror of the complete video lecture ☺️
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!!!!
amazing and great presentation
Thank you so much for such an amazing video! It is informative, helpful and engaging. 😀
As impressive as AI is, Kate writing inverted is just as impressive.
I got distracted when she wrote LLM and for the whole 8+ mins my full attention was how is she doing that.
@@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 ?
@@shutterbug-sr its called lightboard, learning glass, etc. - It's current state of the art presentation technology.
@@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"
I was thinking the same thing!!
thanks kate this is useful to me.
Outstanding explanation. Thank you!!! Please continue such great work.
Thank you
She writes inverted, works on time machines, teaches AI to be awesome, has robots at home that take care of her cats but hasn't found the doodle apps that make her illustrations quicker.... Impressive. Jokes aside, very cool topic, really is a fascinating time to be.
I thought the video was flipped! No?
The video is flipped, but it is a neat light board
@@CritiquelHit
Will Smith, please don't slap me, it was just a joke!
She's writing on Light GlassBoard...
The video is flipped
Very informative. Thank you, Kate.
thanks to ch*tgpt i've finally been able to build my own RNN in c/c++ and dozens of other things. simple series prediction (audio spectral extension) took a few hours to train a FFNN to satisfactory results, but training a RNN on 96 input "hot one" text chars has taken over a month to train on my little asus L210 and i'm maybe a third of the way based on loss.
there's one thing i've observed in decades of procedural media programming, procedure tends to express outside of human discretion and can expand or distend our experience and concept of expression. plus, per burroughs' cut-up method, you do tend to get a bit of EVP and transduction in procedure. aheheh.
but yeah i was looking forward to swiftly crosstraining my text model once trained :P
initial input an analysis of childs' fairy tales and an eloquent and wordy sufferagist were the best open source i could find. relly tho you know i oughta just put out a few words eh.
Great Video. Very Clear. Thanks.
Its highly impresive
I just love this videos
Truly nice way of explaining.
.
Excellent explanation.
very nice presentation thank you
Very precise and accurate video explains things clearly whats gonna up in future ! - thanks Mam.
Quality vid IBM.
Thank you, for the nice presentation
Great explanation.
Great content explained with simplicity!
Outstanding explanation, I'm even more impressed for your hability to invert your writing effortlessly... mindblowing!
congratulations!
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...
good work and fluid presentation, many thanks
Awesome. Thank you
Yes, really informative. Thank you.
Very good!
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.
Excellent. Thanks
Excellent explanation, top of top
Awesome.
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.
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.
Very Well Explained !
Good informative video.
Very nice insights into the topic. Well done Kate
This "blackboard" is so good :)
I loved it! Thanks for this amazing video :)
great video!
Great work
Generative A.I actually helps with writer's block
Thank you so much for the introduction to a very important topic.
very well explanation for beginner like me
Kate, great video!
I just listened to the first half of it, so far. Why is it that you're trying to predict the next word rather than give understanding to the computer program?
Thanks IBM Research Team, this videos are amazing as a learning resource
Informative video. Thanks
Awesome Introduction!
Looks like I'm hooked on this topic.
then you're fish since you got hooked
nice video!!
Outstanding presentation, thank you IBM
Very very high level.
"Trustworthiness" => How to censor unpopular ideas.
heheh trust
they'd line up to die for a maIN-SEctt overlords ahem
yup, it's going to be bad
Great explanation of course! I'm also equally impressive with her (mirror ?) writing skill.
See ibm.biz/write-backwards for more details