Mirella Lapata’s ability to simplify complex topics with vivid examples is truly commendable. Her presentation style is both insightful and accessible.
I just sat before the screen to learn about AI and saw this video. I knew nothing about AI or Chat GPT, only heard about them. But I was able to understand whatever she said within my own limits. Thank you for this video MS Mirella
Really insightful lecture! For anyone interested, here are some key takeaways: 1. Generative AI can produce content across various formats, including texts, images, and code, by learning from vast datasets. 2. Google Translate and Siri are simpler forms of generative AI already integrated into everyday technology. 3. ChatGPT operates on the principle of language modeling, predicting continuations of given text based on learned data. 4. Despite their capabilities, generative AI models often require further tuning to align with human needs and expectations. 5. The societal impact includes both potential benefits in automating tasks and risks such as job loss and the spread of misinformation. 6. The technology can also be misused to create convincing fake content, posing challenges when it comes to information integrity. What was your main takeaway from the lecture?
When we have complex technologies explained in such clarity and understanding, there is nothing to say but to salute the presenter. Excellent presentation. My 10year old could simply understand the technology behind generative AI / ChatGPT4 and all the inherent benefits and risk associated. Thanks Prof.
Wow what a presentation!!! Rarely have I seen a primer that did the job of explaining a complex subject so entertainingly. And it has that great ahaaa moment insight into how the models are trained without using billions of hours of verification time required from humans. Masterclass...👏👏👏
Fantastic! This is the most insightful discussion on Gen AI that bridges the gap between layman and tech enthusiasts seamlessly. Outstanding job, Ms. Mirella Lapata !
Brilliant, outstanding presentation on GenAI! She has put it in such a simple way that anyone can understand! I forwarded it to everyone I know! I strongly believe that the greatness lies in simplifying things and not complicating them! It shows her command and down-to-earth attitude on the subject! She is amazingly passionate! Her last name is "Lapata," which in Hindi language (plus a few other native East Indian languages) means "Lost," but in fact, it is reverse in her case because she actually "finds" those lost! For those lost with AI , she found them an easy way! Kudos to her! Congratulations to her and Ri!
What a fantastic lecture! You have demystified many things 12:47 I can now understand a lot of terms I have heard run over quickly in other UA-cam lectures. Thank you!
This was a great introductory lesson on AI. Mirella is very knowledgeable, and her presentation keeps your interest. Please continue to produce these videos!
Mirella Lapata's explanation of generative AI was really insightful! Her ability to demystify complex concepts makes it enjoyable for enthusiasts like me. As a big fan of hers, I appreciate the clarity she brings to the discussion. It's through educators like Mirella that we can all better understand the fascinating world of generative AI and its transformative potential. Quite a interactive and interesting session!
Thank you so much for this interesting material., early Greek are real builders behinde our modern civilization..Αγαπώ την Ελλάδα , Σε ευχαριστώ πολύ💙🤍💙
🎯 Key Takeaways for quick navigation: 27:15 🚀 Scaling AI models with more parameters enables them to handle a wider range of tasks. 28:21 🧩 Fine-tuning is crucial to align AI models with human goals and adapt them for specific tasks. 29:54 🤖 Creating AI systems that are helpful, honest, and harmless is a challenge, requiring user instruction and bias avoidance. 31:28 🎯 Fine-tuning with human preferences is key to making AI models more aligned with user needs. 37:42 ⚙️ Despite fine-tuning, AI models like GPT can still struggle to follow instructions, highlighting alignment challenges. 38:12 📜 Regulating AI models is complex, with potential societal, energy, and job impacts. 43:27 🤔 Concerns about superintelligent AI are tempered; we'll likely have specialized AI tools, requiring risk mitigation, not prevention. 44:57 📝 AI regulation is on the horizon, akin to regulations for other risky technologies like nuclear energy. Made with HARPA AI
I learned a lot from this lecture and Ms Lapata was an engaging lecturer. Obviously this is a super-top-level view of AI, which is what I needed. The mind boggles. I feel her optimistic summary is maybe too optimistic as it assumes a lot of benevolent actors in the future and also that bad actors will always act logically (predictably) and mitigate harm, which seems almost child-like in its naivete....after all, we've known about climate change and its connection with human activity since the 1950's and look where we are today. Not terribly reassuring.
When people say "It just predicts the next word" They do not understand the abstract nature and power of that. When you look at the smallest part of the LLM it is just a number and comparing one number to another(weight)... Very High Level of how a Neuron in your brain also does a similar thing, "neuron’s dendrite or cell body receives enough inputs from other neurons via chemical or electrical synapses and a particular threshold for that neuron is exceeded, the neuron is triggered to send an action potential across its axon."... So growing together billions of Neurons together we have a brain... We have designed a version of that but we designed it using silicon. Even though the technology of a brain and a GPU are about as different as it could be, the function is similar at some level...We are creating a technology that has emergent qualities. That is what everyone is worried about, they are worried that something will emerge out of AI that we cannot control. So saying AI is just predicting the next word, think about what you are doing before you open your mouth to answer..... To me this technology can be used to cure cancer, help solve the energy problem, and as a weapon...
People who say that say it either out of short-sightedness or insecurity, or both. Short-sightedness: Because they fail to understand that anything complex can be reduced to "just" doing a simple thing at its most basic level. All of life, at base level, is just molecules following the laws of physics. Does that mean that life doesn't have anything unique distinguishing it from an inert rock? Of course not. The whole point of emergence is that a complex system becomes MORE than the sum of its basic parts. Insecurity: Because insisting on that allows people to hold on to the belief that they are still vastly superior to artificial intelligence. Which we actually kinda still are overall, but that's just because AI is not yet scaled up enough, not because it inevitably does something simple at the base level, like literally *everything* else complex we know of.
I want to remind you, how many W (watts) your brain use? vs how much our silly AI is using? And it's mostly focused on appeasing the folks (RLHF and HF - not included into the entropy) We are creating a technology that has emergent qualities. - this is the case. As we emerged from protoplasm so the AI will, as you pour energy(compute) on it
@@vroomik AI mainframe can service millions at any given time. So yes the AI takes lots of energy compared to humans, but we cannot service millions at one time. So if it is one AI talking to one or a few people, sure AI sucks at energy, but now divide that up into millions of people logging on, now it might be much less than humans.. It is all how you look at the data! AI is a tool for us humans to use for good and some will use it for bad and some will use it for really bad!
But ai on average regresses towards average, what you are suggesting is not ai transcending space or time but just fear mongering as have already been done by other elites or their disciples to create another financial bubble.....ai rarely touches the frontier of outliers and that is just the basic fact.....
Generative AI is super interesting! It's a type of AI that can create new content, like text, images, or music, based on the data it was trained on. It's amazing to see the creative possibilities it opens up. Thanks for sharing this.
Lovely presentation! I hope that others have realized that, given the model she presented of different types of brains compared to the human mind/brain, it is now clear that size doesn't necessarily equate with extreme intelligence. Certain LLMs are already smarter than humans regarding certain IQ metrics -even though they have way less parameters!
Regarding the ARC testing (which I presume was meant to 'allay fears') it clearly states that there was no task-specific fine tuning. Almost all the bullet point tasks seem simpler to train to than recognising and understanding natural language. It would appear that a rogue state could develop an AI, with such task-specific training. I'm not trying to be alarmist but it should be understood that virtually all academics are (rightly) excited by the technology but give very little thought to its applications outside their spheres of interest. Those with a 'hacker' mindset would likely be able to quickly pervert future LLMs or whatever comes next, to perform tasks it was never designed to do. As better understanding of the fundamentals of this technology spreads I hope we can have more in-depth discussions about real-world ways to avoid issues. (Very enjoyable talk, from someone clearly both knowledgable and enthusiastic about their field)
A little correction. Berners-Lee didn't invent the internet, he invented the web - the intuitive user environment interlinked and formatted by hypertext that is carried on the internet. An understandable slip though, since the vast majority of people have only ever interacted with the internet through this construct.
An amazing presentation on one of the crucial topic in the age of Artificial Intelligence! So exciting to see the simplicity and flow of clearly understanding the core principles of the subject. Thank you Prof for this lecture!
This lecture actually is displaying the logical and creative limitations and boundaries of GPT. I am certain many people reading my comment will be outraged. That’s what is expected.
Mirella Lapata’s ability to simplify complex topics with vivid examples is truly commendable. Her presentation style is both insightful and accessible.
Mirella Lapata's clarity on the subject. This is very easy even for a Non-Technical person to understand .
I just sat before the screen to learn about AI and saw this video. I knew nothing about AI or Chat GPT, only heard about them. But I was able to understand whatever she said within my own limits. Thank you for this video MS Mirella
This is great and presenter is very clear about her explanation , I would suggest to everyone must watch. Thanks !!
Really insightful lecture! For anyone interested, here are some key takeaways:
1. Generative AI can produce content across various formats, including texts, images, and code, by learning from vast datasets.
2. Google Translate and Siri are simpler forms of generative AI already integrated into everyday technology.
3. ChatGPT operates on the principle of language modeling, predicting continuations of given text based on learned data.
4. Despite their capabilities, generative AI models often require further tuning to align with human needs and expectations.
5. The societal impact includes both potential benefits in automating tasks and risks such as job loss and the spread of misinformation.
6. The technology can also be misused to create convincing fake content, posing challenges when it comes to information integrity.
What was your main takeaway from the lecture?
When we have complex technologies explained in such clarity and understanding, there is nothing to say but to salute the presenter. Excellent presentation. My 10year old could simply understand the technology behind generative AI / ChatGPT4 and all the inherent benefits and risk associated. Thanks Prof.
Always a great pleasure to listen to these lectures from the royal institution.
A fresh air of presenting generative AI from different perspectives, wonderful to watch 😀
Wow what a presentation!!!
Rarely have I seen a primer that did the job of explaining a complex subject so entertainingly. And it has that great ahaaa moment insight into how the models are trained without using billions of hours of verification time required from humans. Masterclass...👏👏👏
She is so real and passionate about what she is talking ❤
Mirella Thank you , You are full of wisdom like Athena !
When you see the energy, wit and passion of this wonderful lady you understand that AI has still a looong way to go!
A very very good explanation. The presenter is very fluent in presenting and speaking clear vocabs. ☺
Fantastic! This is the most insightful discussion on Gen AI that bridges the gap between layman and tech enthusiasts seamlessly. Outstanding job, Ms. Mirella Lapata !
amazing lecture.. loved the way Merella explained each aspect of GEn-AI without going into much technical details..
Brilliant, outstanding presentation on GenAI! She has put it in such a simple way that anyone can understand! I forwarded it to everyone I know! I strongly believe that the greatness lies in simplifying things and not complicating them! It shows her command and down-to-earth attitude on the subject! She is amazingly passionate! Her last name is "Lapata," which in Hindi language (plus a few other native East Indian languages) means "Lost," but in fact, it is reverse in her case because she actually "finds" those lost! For those lost with AI , she found them an easy way! Kudos to her! Congratulations to her and Ri!
What a fantastic lecture! You have demystified many things 12:47 I can now understand a lot of terms I have heard run over quickly in other UA-cam lectures. Thank you!
Brilliant, the best talk on Gen AI for a layman and techie alike. Kudos Ms Lapata
This was a real treat .. loved the way Mirella simplified a complex topic.. will look for more such insightful lectures from her
In India Lapata means missing. And by the end of the lecture all the confusions are missing. Great lecture mam. 😅😊
The simplistic explanation shows her depth of understanding the subject matter!! Loved it, Kudos to the Prof.!!
she is the best trainer on earth on AI and ML ... superb video
Excellent and clear lecture for the general public! It’s meant to be a divulgation lecture
This was a great introductory lesson on AI. Mirella is very knowledgeable, and her presentation keeps your interest. Please continue to produce these videos!
Mirella Lapata's explanation of generative AI was really insightful! Her ability to demystify complex concepts makes it enjoyable for enthusiasts like me. As a big fan of hers, I appreciate the clarity she brings to the discussion. It's through educators like Mirella that we can all better understand the fascinating world of generative AI and its transformative potential. Quite a interactive and interesting session!
>comment brought to you by generative AI
Nice one
Thank you so much for this interesting material., early Greek are real builders behinde our modern civilization..Αγαπώ την Ελλάδα , Σε ευχαριστώ πολύ💙🤍💙
Thank you so much for explaining such a complex subject in this brilliant easy way. Much appreciate this.
You are a gifted communicator. Nice simplification.
Really great job. Refreshing, real energy. Easy to understand. Thank you!
good video and clear explanation for everyone to understand. well done Ms. Mirella Lapata
so beautifully presented honetly just so relatable, refreshing and just the right blend of everything !
This presentation is very easy to follow and understand. Great!
Great lecture. Smart choice of words and examples to explain hard to understand concepts. Well done Mirella.
This presentation is for someone that has been living under a rock for the last two years
🎯 Key Takeaways for quick navigation:
27:15 🚀 Scaling AI models with more parameters enables them to handle a wider range of tasks.
28:21 🧩 Fine-tuning is crucial to align AI models with human goals and adapt them for specific tasks.
29:54 🤖 Creating AI systems that are helpful, honest, and harmless is a challenge, requiring user instruction and bias avoidance.
31:28 🎯 Fine-tuning with human preferences is key to making AI models more aligned with user needs.
37:42 ⚙️ Despite fine-tuning, AI models like GPT can still struggle to follow instructions, highlighting alignment challenges.
38:12 📜 Regulating AI models is complex, with potential societal, energy, and job impacts.
43:27 🤔 Concerns about superintelligent AI are tempered; we'll likely have specialized AI tools, requiring risk mitigation, not prevention.
44:57 📝 AI regulation is on the horizon, akin to regulations for other risky technologies like nuclear energy.
Made with HARPA AI
Very clear delivery of a complex topic thanks
What a wonderful and knowledgable speech!
A complex topic explained on simpler terms. outstanding
Excellent way to teach a complex content into simpler way .. insightful and I thoroughly enjoyed it ..
Lovely AI basics tutorial from a wonderful astute and intelligently likeable speaker :)
🤭
Fantastic Lecture to present something considered complex in very simple language.
I learned a lot from this lecture and Ms Lapata was an engaging lecturer. Obviously this is a super-top-level view of AI, which is what I needed. The mind boggles. I feel her optimistic summary is maybe too optimistic as it assumes a lot of benevolent actors in the future and also that bad actors will always act logically (predictably) and mitigate harm, which seems almost child-like in its naivete....after all, we've known about climate change and its connection with human activity since the 1950's and look where we are today. Not terribly reassuring.
When people say "It just predicts the next word" They do not understand the abstract nature and power of that. When you look at the smallest part of the LLM it is just a number and comparing one number to another(weight)... Very High Level of how a Neuron in your brain also does a similar thing, "neuron’s dendrite or cell body receives enough inputs from other neurons via chemical or electrical synapses and a particular threshold for that neuron is exceeded, the neuron is triggered to send an action potential across its axon."... So growing together billions of Neurons together we have a brain... We have designed a version of that but we designed it using silicon. Even though the technology of a brain and a GPU are about as different as it could be, the function is similar at some level...We are creating a technology that has emergent qualities. That is what everyone is worried about, they are worried that something will emerge out of AI that we cannot control. So saying AI is just predicting the next word, think about what you are doing before you open your mouth to answer..... To me this technology can be used to cure cancer, help solve the energy problem, and as a weapon...
This comment is as good as the talk itself!
People who say that say it either out of short-sightedness or insecurity, or both.
Short-sightedness: Because they fail to understand that anything complex can be reduced to "just" doing a simple thing at its most basic level. All of life, at base level, is just molecules following the laws of physics. Does that mean that life doesn't have anything unique distinguishing it from an inert rock? Of course not. The whole point of emergence is that a complex system becomes MORE than the sum of its basic parts.
Insecurity: Because insisting on that allows people to hold on to the belief that they are still vastly superior to artificial intelligence. Which we actually kinda still are overall, but that's just because AI is not yet scaled up enough, not because it inevitably does something simple at the base level, like literally *everything* else complex we know of.
I want to remind you, how many W (watts) your brain use? vs how much our silly AI is using? And it's mostly focused on appeasing the folks (RLHF and HF - not included into the entropy)
We are creating a technology that has emergent qualities. - this is the case. As we emerged from protoplasm so the AI will, as you pour energy(compute) on it
@@vroomik AI mainframe can service millions at any given time. So yes the AI takes lots of energy compared to humans, but we cannot service millions at one time. So if it is one AI talking to one or a few people, sure AI sucks at energy, but now divide that up into millions of people logging on, now it might be much less than humans.. It is all how you look at the data! AI is a tool for us humans to use for good and some will use it for bad and some will use it for really bad!
But ai on average regresses towards average, what you are suggesting is not ai transcending space or time but just fear mongering as have already been done by other elites or their disciples to create another financial bubble.....ai rarely touches the frontier of outliers and that is just the basic fact.....
Thank you for a very accessible, eloquent, and enjoyable video! :)
Excellent , True respect to this Teacher
Excellent lecture performed by Mirella ! So much things learned
Generative AI is super interesting! It's a type of AI that can create new content, like text, images, or music, based on the data it was trained on. It's amazing to see the creative possibilities it opens up. Thanks for sharing this.
This is really the best explanation I have seen so far. Thank you so Much !
Thank you for the lively input on this conversation about AI and Generative Models. This was Beautiful.
Fantastic! Great knowledge. Thank you for sharing this.
Brilliant explanation, thank you so much. I finally understand how it works.
It was a great presentation and explained most clearly.
incredible lecture. thank you so much TRI and Mirella!
Lovely presentation!
I hope that others have realized that, given the model she presented of different types of brains compared to the human mind/brain, it is now clear that size doesn't necessarily equate with extreme intelligence. Certain LLMs are already smarter than humans regarding certain IQ metrics -even though they have way less parameters!
Excellent explanation of AI Technology..🎉 great lecture..thank you for describing
Regarding the ARC testing (which I presume was meant to 'allay fears') it clearly states that there was no task-specific fine tuning. Almost all the bullet point tasks seem simpler to train to than recognising and understanding natural language. It would appear that a rogue state could develop an AI, with such task-specific training. I'm not trying to be alarmist but it should be understood that virtually all academics are (rightly) excited by the technology but give very little thought to its applications outside their spheres of interest. Those with a 'hacker' mindset would likely be able to quickly pervert future LLMs or whatever comes next, to perform tasks it was never designed to do. As better understanding of the fundamentals of this technology spreads I hope we can have more in-depth discussions about real-world ways to avoid issues. (Very enjoyable talk, from someone clearly both knowledgable and enthusiastic about their field)
Most commenters just say how great the video is. Nice to see someone point out something other than that.
Excellent... Many thanks for all your efforts and sharing this🎉
Dear respected and honourable M.Lapata Mam, at first namesker. Well. Thank you Mam!
Helpful. Demystifies certain things. Great talk. Thanks.
Quite simplistic in her teachings on AI , thanks
awesome - thank you so much.
Very good presentation
Lovely and memorable presentation!
Berners-Lee invented the World Wide Web, not the internet.
Great one. Now generative AI can boost my research skills.
Excellent introduction. Thank you Mirella and RI.
Great presentation...Thank you
Very easy to understand. Thank you.
Superb lecture.Very insightful
Very interesting to watch. Thank you!
Great presentation, Thank you!
Awesome talk in simple words!
Amazingly descriptive and informative
Beautiful presentation here..., job well done.
Beautiful presentation!!
A little correction. Berners-Lee didn't invent the internet, he invented the web - the intuitive user environment interlinked and formatted by hypertext that is carried on the internet. An understandable slip though, since the vast majority of people have only ever interacted with the internet through this construct.
An amazing presentation on one of the crucial topic in the age of Artificial Intelligence! So exciting to see the simplicity and flow of clearly understanding the core principles of the subject. Thank you Prof for this lecture!
“Understanding WHAT” level - flat flat flat and non-sense. Try to think.
awesme, awesome. Excellent presentation
Wonderful presentation
Wonderful presentation. Thank you.
I bow down...great lecture
Very simply and nicely explained Gen AI
Excellent video!
Excellent excellent Lecture
Really Great Presentation…Thanks for sharing
Insightful. Loved the whole video 🙂. Great speaker.
Thank you so much :)
This lecture actually is displaying the logical and creative limitations and boundaries of GPT. I am certain many people reading my comment will be outraged. That’s what is expected.
A very good lecture, East To understand
Informative, and very interesting Thank you
the innovative approach Aliagents is taking with tokenized AI agents is seriously next level
amazing lecture!
indeed
Amazing lecture!
It was so easy to understand ❤🎉
so interesting. I loved specially the graphs presented comparing human and rat brain with llms!
The trainer made the session so interesting
Lovely presentation...🌹❤️
A helpful, honest and harmless lecture
Absolutely brilliant lecture!
can’t wait to see how Aliagents evolves, this project has serious potential in the AI space
This was a great way to understand LLM better.
Wonderful! you are ...simply Great!!