ChatGPT and AI mastery: How to get started in AI. How do you capitalize on this trend and learn AI? Dr Mike Pound of Computerphile fame tells us how to ride this wave. If you are into cybersecurity or any other tech field, you probably want to learn about AI and ML. They can really help your resume and help you increase the $$$ you earn.
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AI just become Sentient? And will it take your job? Or is AI just a fantastic opportunity for you to get a better job? In this interview with Dr Michael Pound we discuss hype vs reality and get a quick start guide on how to learn AI.
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ChatGPT and AI mastery: How to get started in AI.
I think one of the reasons that chat gbt and stuff have been so hyped recently is because most people donโt know what it is and so when you see it doing what it does you think this thing must basically be a person right because itโs acting like one and and I should carry this by saying Iโm not selling short these these incredible Technologies Iโm just saying that it would be very silly to just completely use them blind and never check what they do right because we know they just make stuff up a lot of the time Iโm glad you

computer science do you think itโs time to for more of us to learn computer science type stuff because of AI like maths and all these computer science stuff not really [Music] Iโve been saying that you need to learn artificial intelligence or AI question that a lot of you have been asking me is okay so how do I learn that so letโs ask another friend yes youโve mentioned this before but remind me which place do you recommend that I learn and others learn AI I really like brilliant itโs one of those
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Places where you can go and have a visual gamified way to learn Concepts and Mathematics behind Ai and machine learning youโve recommended this a few times to me the way you said it was David if you want to learn AI I need to learn like statistics and stuff like that right yes Iโve got these road maps that actually helps you with Calculus and learning statistics and linear algebra all the stuff that you need to know for AI Iโll say this David is on my team Iโm really glad that he is David has strengths that I donโt have and I
Think thatโs whatโs really important in life you need to learn from others the other will tell us youโve done a lot of maths youโve done a lot of computer science youโve actually worked with AI stuff right I work in the medical field for with data science stuff so I really think like you need to know know all the statistics and calculus and linear algebra and the discrete mathematics that you need to learn which actually makes a lot of coding a lot easier for you thatโs brilliant so Iโm looking on
(02:02) their website now the one that youโve recommended that I go through is the data science foundations right thatโs like probability applied probability statistics fundamentals and then an introduction to neural networks and obviously me being me I just skipped all of that I went straight to learning neural networks but as David said what I really like about this website is itโs gamified as he said so really great way to get started really want to thank brilliant for sponsoring this video brilliant as they say in the UK thanks
A.I. Hype Should we be worried?
AI it seems to just getting be getting you know hotter and hotter so tell me is the sky falling am I going to lose my job is the future Bleak I think I think youโre gonna be all right so relax oh it looks um are you just bring me into calm everything down a bit thatโs thatโs you.
Know I think that the last six months particularly have been you know both unbelievable in terms of genuine hype like things that are really exciting appearing and also obviously totally overboard hype thatโs just getting really quite silly and everyone needs to calm down right so I think thereโs a bit of everything going on chat chat GPT is a is an incredibly impressive tool that works very very well Iโve Iโve done some really fun tests with it where Iโve pushed to see what it will do and some
Amazing but flawed
Of the things it will do are quite amazing right on the other hand there are lots of things it doesnโt do very well and one of the big problems we have at the moment is it wonโt always tell you itโs one of those things and thatโs I think where we have something that needs addressing Iโve done some tests and I mean a lot of people I know have done tests and itโs a itโs amazing what it seems to be able to produce um I think the concern a lot of people have is like Mike Iโm 18 years old or
Iโm letโs say Iโm older I want to switch careers to become a programmer or I want to get into cyber security or want to be a network engineer whatever some technical role and it feels like Iโm just going to waste my time because chat GPT is just going to obliterate drop at jobs the first thing I would observe is that itโs very nice for some of these big tech companies if thatโs the perception because it makes them look very very impressive right and so I think that the cynic in me a little bit
Itโs like this is thereโs no no pay R is bad PR kind of a situation they like to drop you know these tools get dropped as incredibly impressive Tech demos and and Iโm not selling them short right very impressive but maybe not quite as impressive as they first appear on a service when you start to dig in and I think thatโs whatโs really important you know in science we spend a lot of time checking things and rechecking them at least thatโs what weโre supposed to do right so I you know a PhD student comes
To my office with some results and they say oh weโve got 95 accuracy on some task and I think okay letโs talk about which data you used and whether thatโs really true and whether when you use it on this new data youโre going to get that same result and we spend ages going over and over the data again to make sure that when we actually publish it itโs really as accurate as possible large language models are maybe not operating in quite that same way yes they release papers from time to time
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But mostly they release these big websites where you can try them out and they do incredibly impressive stuff and and they lie very impressively as well right I think thatโs the thing that we havenโt quite uh got around so you know suppose youโre a programmer and youโve been using co-pilot and youโve been using chat GPT also does code and you and youโre a bit worried because itโs just producing pretty decent code maybe you donโt see it replacing you right now but you could see in 10 years maybe
Thatโs going to be a problem I think the problem is at the moment is itโs very difficult to know where itโs going I think a lot of researchers are suspicious of the idea that we can just make it continually bigger and bigger and more impressive and it will just get better and better you know when we talk to about how these models work they donโt really have an internal model of what it is theyโre trying to do or anything really they just map text to other texts you know when I write a piece of computer code what Iโm really
Hoping to do is is in my mind come up with an idea of the problem that needs to be solved so what the number the variables and things Iโm going to need start to get them down on paper and then start thinking about how would I manipulate those variables using code to produce some result that I want chat GPT doesnโt really work that way it just spits out code right and it happens a lot of the time to look pretty good at the moment itโs a tool to be used quite carefully particularly with code I wouldnโt push anything chat GPT has
Written straight into production without you know quite a few quite a few tests because at the moment thereโs no grounding in reality right the reality is for training data but once itโs finished training you itโs kind of random what it gets and these things actually I donโt know if youโve noticed this David but when you run it it can produce different answers each time yeah and thatโs because it uses something called temperature to somewhat randomize its output so instead of saying okay the
Next word in my in my output is going to be the it will say I think thereโs an 80 chance that itโs there but itโs a 20 chance that itโs so and then what you what the machine will do is say well okay 20 of the time then weโll pick a different word and that way you can go in slightly different directions because if you didnโt do that it would just produce the same output every time itโs not itโs not a random object so itโs not a random Network in that sense and so you can imagine a situation where there
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Is a really good version of this program that it could write but it randomly didnโt and produced one with loads of bugs so you know assume thatโs what Iโve experienced yeah sure yeah and and you know I suppose thereโs a question in my mind about how is very inefficiency saving if you have to order everything youโre reading right is reading code as fast as writing code or slower or faster Iโm I I donโt know right Iโm undecided I think sometimes for boilerplate codes probably pretty effective um if itโs
Sort of code you know write me a a for Loop to do X Y and Z probably works pretty well as long as youโre capable of quickly checking that but then it didnโt take me very long to write four looping anyway Iโm undecided I suppose as to how much of a game changer that will be this said I know there are developers that use it right and I know that the developers who claim or at least they think itโs theyโre much more efficient I donโt spend as much time coding as Iโd like because Iโm I see you know isnโt as
Is it worth it getting into CompSci?
A professor in the University I spend a lot of time teaching a lot of time mentoring others right and teaching people so they do the coding and I sit there and look at it right so I havenโt had as much experience as some yeah I mean I think the the concern is always you know younger young people are people trying to switch careers is you know I want to have a job for more than a year or five years um is it worth putting all the effort in to learn this stuff if AI is just going to take it away my gut tells me that AI
Isnโt going to take it away anytime soon right because I think that I would argue that you need something more fundamental to understanding some of these problems if youโre going to write code to solve them than just a text production mechanism that isnโt to say that what it doesnโt do itโs very impressive what it does but I think that as you start to build up you know itโs very itโs all very well saying write me a for Loop to do this but if you want to write your class structure and a and a really.
Complicated system thatโs such a more difficult you know itโs like the difference between Lane assist and self-driving right and thatโs why we can weโve seen Lane assist exist but self-driving seems to be so hard to get to because of how much harder that is as a problem and I think that itโs very easy to fit a straight line upwards to these things right you say well they didnโt do anything and now theyโre doing this which means theyโre going to be doing this it may get a lot harder and
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Plateau out right we you know itโs difficult to say for sure I think that thereโs going to be a very strong need for people in the loop for a lot for a long time further right I mean as an example outside of programming in medical science AI is obviously used quite a lot to help with diagnoses and things but almost no AI systems are used just on their own with no human oversight because for a start because we donโt trust them yet and also because patients donโt trust them patients donโt want an AI even if itโs good making
Their health decisions right like not yet you know and so I think also culturally weโre not quite weโre not quite ready and I know a few companies that are not using copilot because theyโre not absolutely sure the copyright on on the code and think you know thereโs questions that havenโt been answered I think if youโre looking for it to be a software developer or youโre looking for a career in security or career in AI thereโs still plenty of things to do so I wouldnโt personally
Knowing A.I. makes you valuable
Worry about that I think we we mentioned this last time and I I want I want to give people firstly you know a way to make themselves more valuable and then a path to get there um you mentioned that you know any if you attach AI to any skill that youโve got itโs going to make you more valuable um I I assume thatโs still the case and I want to ask you Mike how do I get there and it also makes you more experienced at dealing with things like this when something comes along you can you can sit back and you can say okay
How impressive is this letโs think about what itโs doing and how it works and you know some understanding of how these things work you donโt have to understand deep down transformer networks if you want to understand roughly what theyโre doing right and how they Iโve been trained yeah I would say some knowledge of statistical analysis and data data processing in general is really really important right people mock Excel Excel is I think one of the best products ever written itโs totally ubiquitous itโs
Every powerful and it underpins huge amounts of you know Financial systems and other systems I use it all the time from for student marks right so you know you get a table of data that comes in and it doesnโt make any sense what weโre going to look at how weโre going to deal with this right and how weโre going to make decisions based on this data and things like data science and machine learning will help you deal with some of these problems people who want to become experts in AI obviously need to develope.
Bit deeper but I think for a lot of people AI can just solve small problems in your pipeline that might make things a little bit easier having that extra string in your bow itโs not itโs not a terrible idea so in previous videos I told people you need to learn Ai and itโs something that I want to really focus on this year and this is why Iโm talking to you you know right in the beginning of the year uh have you got like courses places that I can go to books that I can read any recommendations of how do I go from like.
Where I am now zero knowledge to yeah at least you know getting down that path to be able to put it online there are loads thereโs loads of books and resources in Python to learn machine learning and data science um and that would be a great place to start I you know Iโve said it before many times I have a love hate relationship with python I like it sometimes and I donโt like it other times at the end of the day there are libraries in Python that do quite incredible machine learning and make your life a lot easier right so weโve
Got things like psychic learn weโve got tensor flow and Pie torch of course but there are tutorials and books written around these things and they take you from I donโt know what this network is to I can actually get one of these networks running on a machine and itโs often not that much code because of these libraries do a lot of heavy lifting for you often it becomes more plug-in building blocks together than it does right you know writing neural network layers from scratch which no you know we donโt do anymore you know so you
Can start by just plugging some things together and Iโve got a rudimentary Network that I donโt really understand thatโs doing this classification and before long youโve made your classification problem a little bit more complicated and youโve got multi-class classification and then youโve got a slightly different data set and then youโve solved a data augmentation problem and you can add these things in and slowly work towards a bit more experience you know I have you know a number of undergraduate project students
Every year so in University in the third year you often do a dissertation which is like a um like a focused project over a whole year after most of my dissertation projects are going to be on AI and something like this and you know these are students whoโve done some you know machine learning maybe a little bit in their modules throughout their undergraduate and they know how to code but a lot of itโs new you know we pick it up and we run with it and we and we we drew some great stuff Iโve got some
Um Iโve got some students in the second year solving Rubikโs Cubes using machine learning to detect where the colors are and things like this and this is from scratch right so this is this is people who havenโt done machine learning before and like important minimized reaction I think it is very doable and I think itโs itโs you know and itโs fun as well right thereโs nothing more satisfying to me than youโve trained a network and itโs just classifying really accurately whatever it was you wanted to do I
Resources for learning A.I.
Basically my job is looking at numbers go up and I like when they go up so Mike I mean Iโd love to come to you not in Nottingham University and attend your courses but obviously icon and so can you know most of us canโt um do you have any like resources or ideas that things places I can go to to learn often the first course I recommend for everyone is to take Andrew Angus Corsair of course right very popular I mean I donโt know how many times itโs been taken now millions of times itโs Andrewโs course on machine learning
There is a deep learning follow-up to it which I havenโt I havenโt done because partly I actually already know deep learning but um the machine learning course is really good itโs a good understanding of some of the key Concepts in machine learning and not specifically about yes a little bit about how neural networks work and things like this and it can be a little bit mathematical itโs my experience of it but if you if you watch it anyway youโre going to pick up a lot of tips and tricks so things like watching
Network train over time and reacting to how that works and doesnโt work and making decisions based on this these are the things really I think that people who want to do machine learning in an applied way in a know in a business or in an industry thatโs what they need to better do a lot of them are not going to be writing neural networks from scratch or designing a number of layers in your network theyโre going to take a network that we know works and run it on some new data and if that works great.
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First time then thatโs fabulous but if it doesnโt what do you do then and these are things that youโre going to learn and start to learning that Coursera course Joshua bengio and others have written a book just called Deep learning which is very popular again obviously it can go into a little bit of heavy Mass detail but itโs very popular I would say donโt read it end to end itโs one to dip into while youโre doing some tutorials to understand a bit more about the theory and after that personally I would
Get I would do the pie torch tutorials or the psychic learn tutorials they can be directed at your own pace and they will include theyโll give you experience and all those different things right thereโs thereโs tutorials on things like reinforcement learning but also just standard cans and Transformers and things like this yeah and donโt donโt worry about you donโt have to do all of those on day one on day one weโre talking about about what is classification what is regression maybe
Should you get into CompSci?
Get something little going right really you know start yourself off nice and slow and build up the complexity as we go right itโs the same with any subject in computer science you canโt learn everything on the first day so you just have to take it a little bit at a time Iโm glad you mentioned computer science um do you think itโs time to for more of us to learn computer science type stuff because of AI like mathโs and all these computer science stuff not really I think that itโs it wouldnโt itโs not necessary for
Everyone to do that I think that you know I would encourage everyone to do computer science because I would but of course I I think that sometimes both computer science and an industry have a sort of reverse snobbery about each other right which I donโt like very much so for example computer scientists might say well if someone didnโt do a degree you know what do they really know about computers right which is not true and someone whoโs who got on fine without a degree might go why would I go and get.
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Student loans and do a degree and different paths are all valid I donโt I donโt know why weโre having this conversation right and I think um there are there are elements of maths in machine learning which help I suppose me to understand it a bit better when someone comes with a particularly weird problem that doesnโt you know theyโve added another layer and itโs not training why is that right they also help me sometimes when Iโm reading papers because papers they can have a lot of mathematical notation in and
Sometimes thatโs not necessary and theyโve just added it in but often itโs just itโs just to be absolutely clear about what theyโve done and and often the mathematical notation is necessary to achieve that rather than writing it in in sort of flavorful text but to begin with machine learning you donโt necessarily need to know those things you know you can train a network in pi torch with a knowledge of rudimentary knowledge of python and following some tutorials and youโll pick up the rest as
Enhancing your career with A.I.
You go the really complicated mathโs like back propagation which is how we train it thatโs all taken care of under the hood you donโt see that itโs not something unless youโre really interested itโs not something to concern yourself with but I mean the great thing is if Iโm in Industry I let or Iโm into cyber or Dev or whatever I can really enhance my career prospects and the future by just adding this on to my skills yeah but and I also think that and I mentioned it before I think the
Other thing is it makes you much more resistant to hype and to concerns over things and also when someone comes to you and says oh yeah Iโve trained a neural network to do X Y and Z you can start to think hasnโt sound very likely right that sounds like the sort of thing but maybe is a bit fanciful right letโs letโs deal with letโs look at their data and see if thatโs actually true what theyโve done and I think one of the reasons that chatgpt and stuff have been so hyped recently is because most.
People donโt know what it is and so when you see it doing what it does you think this thing must basically be a person right because itโs acting like one but actually itโs only acting like one in a very narrow thing and we know how itโs trained and how itโs trained doesnโt imply necessarily that itโs got any human qualities right it might but I donโt gut tells me not quite right but the point is that I I can Iโm sort of more resistant to that in some sense because I I know how it works underneath
And I sort of think Iโve trained all these networks and this is a bigger version of networks that Iโve trained myself I donโt see whatโs different about whatโs so different about that that it would suddenly be unbelievably Insurgent compared to anything else if that makes sense some knowledge of house what some of these Technologies are just like knowledge of you know so some some companies trying to sell you a new firewall with Next Generation antivirus on it that has all kinds of machine.
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Learning well if you understand a bit about machine learning youโll know what it will and wonโt do right and that will allow you to make a better informed purchase decision and the answer is it will work pretty well right but itโs but nothingโs perfect and machine learning is only as good as the training data and so on so thereโs lots of things you can ask and you can ask really difficult questions instead of people that come and try and sell it to you especially with things like Twitter and the news
Itโs very easy to get carried away in this hype cycle right lots of technologies have this itโs in the interest of these companies to make these massive models of incredibly impressive performance I think weโre a long way from Full automation of a lot of these tasks even if it might appear that way a sort of superficial level but on the other hand theyโre really promising in some other ways right so one of the things that I found that chat GPT is really good at is paraphrasing text and vice versa so you have a text
You donโt quite understand say please can you read this and tell me what it means or please can you summarize these bullet points in an email or something like this you know these kind of functions I think are actually working really well right because those are functions that rely on the their text to text theyโre meant for text to text right they are thatโs kind of what theyโre for and I think that those are the ones that are really really good I think code completion is useful when youโre asking limited things that you
The limits of A.I.
Can carefully check quite quickly donโt ask it to produce a thousand lines of code that you expect them to all be perfect because thatโs not what it will do right and and youโll end up with a lot of weird bugs or I mean there was this used paper just released just the other day actually from Stanford that said that they they audited code from about 30 to 35 researchers who some of them were using um AI to produce some of the code and some of them werenโt and the AI produced code had more vulnerabilities.
Thatโs because when the AI produces code that works but letโs say it uses ECB mode in as or it uses a slightly weak key derivation or something I donโt know something subtle if they donโt know about that subject already they might accept that change if that makes sense right they actually so you need this is why you need to still be an expert in your field because you canโt just rely on it to do it for you yet youโve got to be there saying I think thatโs okay or I donโt think thatโs okay
Make those decisions for yourself yeah I mean you know itโs a limited study but like itโs not that limited and it makes a very valid point I think the real danger is people who and and I should carry out this by saying Iโm not selling short these these incredible technology is Iโm just saying that it would be very silly to just completely use them blind and never check what they do right because we know they just make stuff up a lot of the time I think a bit of domain knowledge is always going to
Help I mean itโs interesting because I did I did some tests with like Cisco devices and um itโs amazing like first time it got a perfect then I wanted to do it for a video and then it wasnโt good and I did like five or six attempts and none of them were perfect yeah I think if I didnโt know what it was doing I would have accepted it sorry go on yeah and the other thing is that you know if you think about a date of it itโs trained on itโs got some 40 40 plus billion tokens right itโs just internet.
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Text weโll just leave it at that right loads and loads of text Cisco related text is only going to form a very very small fraction of that various vertical evidence because itโs not got a world model because itโs not got an understanding of the world where it can bring Cisco in and correct add it to its model itโs just doing text completion and so when something is underrepresented in a training set itโs gonna probably be worth performing when it comes to actually running it later right so when you say write me write me
Something in the style of Shakespeare itโs going to do really well because thereโs Shakespeare all over the internet right some tasks are going to be very solvable because theyโve just theyโre hugely represented in the trading set they work really well and some tasks are really Niche and of course you donโt know which oneโs a niche because you havenโt seen the training set I say write me a link expression and it does it really well and when I say write me a link expression using some other thing and
That isnโt in a training set and it produces me a wrong answer and I donโt know until I run it whether thatโs the case so I have to understand and be able to read that code because otherwise I canโt possibly put it into my system and itโs just it goes back to the exact same problem with medicine right it might be that weโre absolutely confident but they say I will look at this image and make the correct decision but weโre not absolutely sure and while weโre not absolutely sure do we want to completely
Take a human out of the loop there thereโs questions to you know we have to think about so do you think itโll become like the AI might do a lot of the low level I think thatโs much closer to what will happen so I think in in thereโs a phrase in medicine called CAD or computer-aided diagnosis and the idea is that instead of the doctor not making a decision the doctor will be guided into a decision by the AI saying weโve noticed these spots over here in this image is that relevant to you and it will speed them up right.
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And if we can make doctors or Medics 50 more efficient thatโs a huge thatโs thatโs a huge boost rather than try and put it all on the AI and similarly it works in code if you can produce boilerplate code if you can get it to bootstrap spring boots configuration files for you fabulous do that right and then that saves you half an hour to an hour of doing some actual code or making sure that it worked but what I would have avoid you know what I would avoid doing is trying to have it write everything for you and replace yourself
Because I donโt think it will work I think youโll end up really frustrated that your code doesnโt get part past any of your reviews because it didnโt work right I was going to say I love what you said though because with that example at Stanford if if if people had just accepted the code thereโs hidden vulnerabilities in the code that wouldnโt have been picked up yeah and and then thereโs a combination of issues right is it that the developer needs to know more about these subjects
Or is it that theyโre someone that would normally be on that team that wasnโt auditing that code that would have been auditing that code at that time you know you know because you have security teams sometimes who are specialists in this but I think itโs that same argument in some ways if someone has a small amount of knowledge of computer security that might allow them to be more resistant when code appears it does this and thatโs the same thing with the AI if you know a little bit about AI maybe you can
A.I in academics And How A.I. affects academic work
You can better deal with it when something comes along so I think a little bit of knowledge in lots of these things is is often useful for that reason micro so howโs this affected like University life because Iโve heard people talk about how students can just get check GPD to write their essays and stuff like that so and you canโt you canโt see the difference between a student and a like a human sorry and yeah um I think itโs very subject dependent I think thatโs one thing so um what weโve
Done is weโve done weโve actually been running some tests right because so you know if I kind of open out and drop this tournament just before exams yeah yeah exactly um yeah weโve run some tests and like I think it depends on if if I show suppose weโre doing a computer security exam which actually I I teach so you know right and I ask a very simple question right a question like whatโs a good encryption algorithm to use track GPT can answer that so itโll be unwise of me to ask that question in an exam.
Suppose what we say in some sense I think itโs another variant of a search engine so if a student could you know can we call it academic misconduct right if a student was going to use a search engine to do that they could also have a go at using chat GPT it has the advantage for that student but itโs generating very plausible looking answers sometimes theyโre completely wrong right and those answers are going to get marked very far down when they come in front of of a of a convenience so I think your mileage may vary if you.
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Think you can get through a University degree using just AI tools itโs something we have to consider right now some of our exams are face to face they arenโt really affected right you know weโre talking about coursework essays and we I donโt know I havenโt spoken too much to other other schools in the university in other subject areas but obviously there are lots of essay-based subjects but they require very well written essays trap GPT has a habit of producing general answers to things right which are sometimes very detailed
But sometimes not quite so detailed again I think that your mileage would vary if you tried this I suspect that it is possible to tell that theyโre written by chat GPT to an extent because it has a way of phrasing things thatโs quite common Iโve noticed as I as I produce answers but that isnโt sure that isnโt necessarily all the time but thatโs going to be a problem itโs something that every University on Earth is now looking at work so yeah itโs had a big impact and you know when you consider.
That this is just version one right and you know thereโs going to be a chat gp22 probably and Microsoft might release one and Google release one and so on and so forth thereโs gonna thereโs always going to be one of these tools floating about that we have to just be prepared and think about how that how thatโs going to work I think I mean the examples Iโve seen which have worked really well is like if Iโm asked to write an essay about something I can get it to write something that gives me a lot of ideas
And then I can just rephrase it in my own voice but itโs it helps you a lot from a study point of view yeah I think actually does and I think so anyway thatโs a thatโs a big positive way and there are some academics in in this school for example and across across the world who operate in a kind of human computer interaction area who are very interested in could you end up writing a better essay if you worked with a computer to help you out right and in in a way is that not a win for the lecturers as well if thatโs the case now
I agree with that to an extent I think thatโs absolutely right I think that maybe we canโt solve that whole discussion in a month right which is how long it is until our exams so you know the clock is ticking in somewhat itโs somewhat in the short term for for these issues but in the longer term I think theyโre going to be really transformative in helping you know there are students who have who are very very intelligent and they know all the subject area but theyโre just not good at exams they really struggle to get.
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Their thoughts down on paper maybe those students could really be helped by something like this because if you give really specific prompts to chat GPT you get much better answers if a student knows what theyโre doing and can work with the AI I think thatโs going to be much better I mean I suppose the you could have said the same thing for Google or you know using search engines for yeah yeah thatโs thatโs the point thatโs been made I mean in some ways I see on Twitter a lot of people um
Compare these things to Google I would not because theyโre very different um and they donโt have no source of actual data right thatโs the really important thing to remember but they they are a complementary tool in many ways and they are they operate in a similar way if you were going to try and answer an exam you know you would put the question in youโd rephrase it youโd see what came out youโd see does that look plausible Iโm going to try again Iโm going to edit it and so on in the
Same way that you would if you were doing if youโre using a search engine to write an essay as well and right using a search engine to write an essay and I donโt want to speak for every academic on the planet right but itโs not necessarily plagiarism or misconduct it depends on how you use it right you know looking up sources online is absolutely to be encouraged it depends on how youโre doing this I think in the long term we will get a nice balance actually between using it too much and not using
It enough and I think actually thereโs another thing thereโs another aspect which is I think this plays into your this is relevant to your channels viewers is that you donโt you shouldnโt think of doing a degree or writing a coursework as just about getting a mark right thatโs very easy to think about that but actually itโs about learning something that you can then take and use in your career or something like that right we donโt teach people to program so they pass the exams we teach them.
Program so they can go off and be software developers if you use AI to write all of your work for you then you get out you wouldnโt be able to get a job and you wouldnโt better work in that job because you wouldnโt be able to do any of the computer science actually I think that if you got a lot because I have quite a lot of learning and I love to learn about new soft topics particularly you know around computer science I would never use chat GPT to cheat because I wouldnโt know any of it then right and you know and I like to
Conclusion
ChatGPT and AI mastery: How to get started in AI.. learn about these things now if you want to become an expert in something then youโre going to need to learn it you canโt read what chat GPT wrote A lot of it comes down to hoping that students and trying to encourage students to think that itโs about the process of learning and where they get to at the end rather than specifically about a series of of kind of barriers of exams that they have to get through right which I think is is not a good way to look at a degree or any course really you know itโs much better to think about.
where youโll be at the end right and youโll be in that much better position to do what you want to do next thatโs exactly right I mean itโs a like certification exams same thing you know you can go and get all the answers or the cheetah sites or you can actually learn something and and you havenโt done yourself any favors if you get it off because you might get a job based on that itโs not going to go well right because you donโt you donโt have any of the knowledge youโll always feel like
You donโt have any of the knowledge as well right you know actually it doesnโt take that long to learn things if you really put yourself to it and youโll be in such a much better position afterwards Mike as always I really want to thank you for you know sharing your knowledge and you know separating the hype from like the worries about peopleโs futures thanks so much for making a drill yeah itโs no problem glad to be on again itโs been really really good brilliant thanks Mike thanks
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