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
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.
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?
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 !
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, 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!
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...👏👏👏
This was a great introductory lesson on AI. Mirella is very knowledgeable, and her presentation keeps your interest. Please continue to produce these videos!
What a very very clever lady and a superb teacher. I am now too old to be a teacher but if only this technology was available to me over fifty years ago.
Thank you so much for this interesting material., early Greek are real builders behinde our modern civilization..Αγαπώ την Ελλάδα , Σε ευχαριστώ πολύ💙🤍💙
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!
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.
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.
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!
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)
🎯 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
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
Always a great pleasure to listen to these lectures from the royal institution.
Beautifully delivered and such a talent for simplifying complex learning. Thank you!
This is great and presenter is very clear about her explanation , I would suggest to everyone must watch. Thanks !!
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.
Really great job. Refreshing, real energy. Easy to understand. Thank you!
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?
Mirella Thank you , You are full of wisdom like Athena !
A fresh air of presenting generative AI from different perspectives, wonderful to watch 😀
Thank you so much for explaining such a complex subject in this brilliant easy way. Much appreciate this.
When you see the energy, wit and passion of this wonderful lady you understand that AI has still a looong way to go!
Brilliant, the best talk on Gen AI for a layman and techie alike. Kudos Ms Lapata
amazing lecture.. loved the way Merella explained each aspect of GEn-AI without going into much technical details..
This was a real treat .. loved the way Mirella simplified a complex topic.. will look for more such insightful lectures from her
Excellent and clear lecture for the general public! It’s meant to be a divulgation lecture
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 !
She is so real and passionate about what she is talking ❤
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!
A very very good explanation. The presenter is very fluent in presenting and speaking clear vocabs. ☺
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!
You are a gifted communicator. Nice simplification.
she is the best trainer on earth on AI and ML ... superb video
so beautifully presented honetly just so relatable, refreshing and just the right blend of everything !
The simplistic explanation shows her depth of understanding the subject matter!! Loved it, Kudos to the 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...👏👏👏
Very clear delivery of a complex topic thanks
This presentation is very easy to follow and understand. Great!
This was a great introductory lesson on AI. Mirella is very knowledgeable, and her presentation keeps your interest. Please continue to produce these videos!
Great lecture. Smart choice of words and examples to explain hard to understand concepts. Well done Mirella.
Thanks!
incredible lecture. thank you so much TRI and Mirella!
That's a nice outlook you shared around Gen-AI. Though we have heard about this a lot but this felt like something fresh!!
Excellent way to teach a complex content into simpler way .. insightful and I thoroughly enjoyed it ..
What a very very clever lady and a superb teacher. I am now too old to be a teacher but if only this technology was available to me over fifty years ago.
good video and clear explanation for everyone to understand. well done Ms. Mirella Lapata
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 for a very accessible, eloquent, and enjoyable video! :)
Fantastic Lecture to present something considered complex in very simple language.
This presentation is for someone that has been living under a rock for the last two years
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
What a wonderful and knowledgable speech!
A complex topic explained on simpler terms. outstanding
Helpful. Demystifies certain things. Great talk. Thanks.
Excellent lecture performed by Mirella ! So much things learned
This is really the best explanation I have seen so far. Thank you so Much !
It was a great presentation and explained most clearly.
Lovely AI basics tutorial from a wonderful astute and intelligently likeable speaker :)
🤭
Fantastic! Great knowledge. Thank you for sharing this.
Excellent Presentation 🌹 Hearty Greetings from Hyderabad, India 🇮🇳
Wonderful presentation. Thank you.
Excellent , True respect to this Teacher
awesome - thank you so much.
Beautiful presentation here..., job well done.
Brilliant explanation, thank you so much. I finally understand how it works.
Lovely and memorable presentation!
Wow, superb, very informative!!!
Quite simplistic in her teachings on AI , thanks
Very interesting to watch. Thank you!
Thank you for the lively input on this conversation about AI and Generative Models. This was Beautiful.
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.
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.
Very easy to understand. Thank you.
Excellent introduction. Thank you Mirella and RI.
Great presentation...Thank you
Great presentation, Thank you!
In India Lapata means missing. And by the end of the lecture all the confusions are missing. Great lecture mam. 😅😊
@amansharma How dare you say India is a language 🤦🏿♀️ get yourself together bro
Really Great Presentation…Thanks for sharing
Excellent... Many thanks for all your efforts and sharing this🎉
Great one. Now generative AI can boost my research skills.
awesme, awesome. Excellent presentation
Superb lecture.Very insightful
Insightful. Loved the whole video 🙂. Great speaker.
Awesome talk in simple words!
Informative, and very interesting Thank you
Very simply and nicely explained Gen AI
so interesting. I loved specially the graphs presented comparing human and rat brain with llms!
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.
Amazingly descriptive and informative
Excellent explanation of AI Technology..🎉 great lecture..thank you for describing
Dear respected and honourable M.Lapata Mam, at first namesker. Well. Thank you Mam!
Amazing lecture!
It was so easy to understand ❤🎉
just wow. simplified explanation
Very good presentation
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.
Wonderful! you are ...simply Great!!
Beautiful presentation!!
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.
A very good lecture, East To understand
Thank you so much :)
Absolutely brilliant lecture!
This was a great way to understand LLM better.
Excellent excellent Lecture
Excellent video!
amazing lecture!
indeed
🎯 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 am enriched in India by your lecture.
I bow down...great lecture
The trainer made the session so interesting
Lovely presentation...🌹❤️