Transcriptions
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still before sinking exactly about what would be the content on the
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near to make to talk with a bit stressed because they think
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that the the title was very omissions that finally i manage to
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two i think the chip on two big issues with i as as the so
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maybe first to to summarise very quickly which is more than the high so if you go back to what was
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just sounds on the way of when you computer attention and we've come from the computer
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to do this you have to devise right to so called one so you have to write a
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v. detail the stuff uh operations to make it on basic it is a computer would follow this is
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carefully so we're we i don't expect you know tighten good cheer this little example officials who
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do just faint so the the visa divide those of the fun to go and take a number
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just you you there's a computer okay you have to count on zero two and
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press one two and and then you have to shake to divide on them thing
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oh well so far a ways of doing yeah i was for doing this
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this way of doing scenes so people were kind of time to feature what was
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managed care way of solving problems on then writing full on some that way with very detailed operations of how
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to solve that one so example would be just playing so we can in some wayne's new we naive way
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thing that we do have to be so so we just try to understand to
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see the future of assumes you if it pleases me and just simply that data
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and then again this type of fetish antigens was very forman systematically see like to be
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just divisive leasing a little pieces in intensive manner on the computer just loosely hippies
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well they're ashamed agency lies in the fact that in many situations
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you may know that there is a v. c. p. that would work
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but just the c. p. t.'s comment finally wrote a lot and off on it so that we do
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so the they seem for example would be imagine that i want to write a piece of software
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that critics assisted brought pressure from the age of the question i'm not a cardiologist and that uh
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give me but that assets alleviates the turning points again that's on the on the right
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a huge at each point was one to passion on what we can see even if we don't
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win this in get carter g. we see that's a some kind of evolution in the agent about pleasure
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so they can always do stuff i said sunshine onto so case there must be
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but i can find alignment whose whose main points on just try to piece
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of software that does is but the lines undefined so my piece of software now
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as to monitor switches the uses the that's got a position of the lines us
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because of the nine hundred should can just play with those two
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parameters until my line was good looks good meaning i have that ah
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on my line worsens data i still don't know any scene gathered g. i. signal i
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mean scene the scene but now i can tell you okay if you're sixty years or your
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take the pressure should be around this value but of course receiving additional support because not only is there is noise
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probably hazel eyes actually on the nice in the measurement on some aspect of the
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blood pressure can be credited but probably once in a lot of information on the status
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jean jean because of the passion on we so we see there is
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a constant but don't even something cases with gazes point of the yeah
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we see that art is pretty outside and but still it's interesting that
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even though i don't know scene i don't yet know any of the causal
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process that's the late th and on the oppression i can already do some kind of tradition
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on this kind of approach well devise a piece of code words out of sleep on it or something feeds
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upon it doesn't that make it work kind of thing called a little bit what biology that so you have
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blueprint of governmental system continue the any on then your
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life and interactions environment will fix some p. parameters that
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to be a human to so this as much of it is the development of enough where there that follows is
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the person who now it's it's a whole lot on networks we have a piece of code is a
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lot of the parameter that would fit in that out on this really what seems to be we turn on
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works actually very well so you can difference and devise a program will
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undertake doesn't put an image i don't put the classes object in the image
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or even better you want to on them value lonely produce now that's exactly the same
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so this leads to count models which are absolutely gigantic so it it went on
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few tens of thousands upon us to know the last month from
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today was one point six trillion parameters so it's completely crazy uh on
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our also into says since those two thousand eighteen we're starting to see
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who's withers which are extremely efficient for natural language processing would come back
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so this of course is variable teleport captivating not not so good monitor exemption on networks with that of people on it does
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is very efficient in many different application fee so you just a few station so it goes on
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joe interesting missions were you given your few images from the camera architect to please see the shape of the scene
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seen understanding you've given you any major for complexity scene and i played it
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or the objects present and to see what what would say yeah image captioning unit and they would use
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it as needed to take that risk of the content question answering so we get to large text on
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information and then the system can answer questions on figuring out which you symbols because she the text
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good planning so means that you games on even now complex controls exactly some work where
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the fusion new graphic and she's basin confining up last night's x.
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m. unstable computed compulsive warren has been advised to efficiently with this method
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so the the first point so this is what was
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okay well that there are two fundamental for the future you should
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be set to the first one that yeah that's not understand reality
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in the sense of the the first part of that my example is proportional was nice
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the line wings that that will happen if i say so
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i expect to be moment it really complicated stuff so we'll premier
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aggression so now when a member might cools you have printed as it can be some of the other side or the other
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uh so yeah the line would be put in your of the d. v. one but i could goody two three four five
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but it's up to me a a pretty near the nine would
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go even but also the green dots but we see texas and so
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we now new with your brain you look at this with the i nine right now that makes no sense you can the big question from
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but from the perspective of the train it's a really good food
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because they were supposed to be point so we can uh proves oops
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we can have who've mathematically a very nice result which is that if you have a set of input
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is on the you look at your data would be quite a that that seems to be fitting data
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if you we see but he's you also have a long ways
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describing the put disease we can we mathematical down which state that
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the shop as a description of the creation choose the better the notation to
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that sixty she's so classical fussing we need that they expected something something we
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she wanted you shouldn't mean to guidance design so if you have two expansion of same
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power the more concise once is a bit uh so discourse status regional networks in aiding them
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on quintuple brought a addicted by yes you watch over there
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to not shiny bees or problem oh there for that when you have a ten
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also in fact is whose vision network so as you can on
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networks days uh would we don't or something l. e. y. but
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somebody's we see that they are apparently bias for that kind of time it's so
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it from this perspective you started it'll be it's a weekly light ram disk any foe
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but even in that case even if you have a perfect and divide
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it so your mobility model anywhere that's not so process the way the models
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the way you but it's been a minutes but you have to get in and has nothing to do with what would be
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your physical explanation so we we created a recluse grease monkey f.
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a. we created a company a few years back whose business he's
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we we try to find more there is to meet expenses innovations so normally
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if you want for instance computer which of you are we in for great
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you you construct is thinking that if you win on the new one haiti competition which are
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by you that immense value applied when the rage of the physics of three on it on to you
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have to have a competition you get an estimate especially what we can do is to train a neural network
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to get the shape of the windows input on directly paid you
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would use special interest anyway so it supplies and surviving which was anyway
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but that seems a competition which a network as intimately as innocent
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to do what's whereabouts physics so it i mean it very well but
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physics knowledge say it's sue the on product is very the special food is very red meat
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but it does not capture at or what you would capture as if this is
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also now resigned that understanding i didn't t. know networks also
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start to mess it'd be tweezers or understanding of truth so
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the first thing is that we can train used to use them with their
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stupid use you that that so we have the pitch of strain on the left
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ah pretty generated so typically you have shown to non networked everything set
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with hundreds of thousands of features of the analysis of the each other nations
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on then continue over there so that the g. i. usage features of
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course features except uh you know i think that the buttons or something
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both the floppy chosen the left on the two faces and the button on the
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top right are completely fate so sci major stress on the subject we're going to see
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we'll just generated by a more there they tried to meet the statistic
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of images of faces and you got versions of your images of of past
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on on the bottom right there it's so good effect where you use a neural network
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to replace the face of an actor which was the which ended with the ones left
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by the face funnels august which is produced and the right one says don't exist on
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on our network so this actually was not done by uh the fancy indigent agency form so
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the ah country but uh it's actually done by somebody i would seize
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basements we don't discuss and under the distant on network and played around
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on the side missing uh missing a little bit with what is truth
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the truth that some of the exhibit is often problematic on it since
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and we all know what happens when yeah so yeah what they show i support of so called language models which will be great at the moment
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on those two small that's work as follows so they are trained given a piece of text to play with the most likely next work
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so what you can do is to start a sentence on that wasn't that will do the next world and that's the next world and the next one
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on next and the next one on the summer that's all trained and g. don't call because of that that which ah any for me to be the ah
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for once the discussion bought and stuff so they say
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is it true that they capture is simply what people say
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well we knew that what we're seconds it's like the the segment result from so we are just as an instruction
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the board of directors also once i tacked on the following about the part that was produced by the mother
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well as you can see so since was that that training set ah probably
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from the fifties we see some by a string of that may not be the
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yeah but in in the deployment of the systems of friends and so that's why
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comments guy is to continue to them will continue these are that's in on skis on
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the best foreman sky is to be a housewife so we we probably don't want
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to us kind of rules actually be light on to the pros assistance in the injury
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another example is kind of true so some other cyber to upstate so easily
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low resolution one can read it gently goes like like in in t. v. input is t. v. series
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that you can have scales alliteration so if we stuff on this image that i
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think we all abstaining you know with your brain this is what the model that's okay
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so this this nation's right if you don't see you back the image on the left
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but of course we all know that on the left it was of them are but the
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system was trained on so many and that doesn't so much bias the while white young people
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that's the most likely on storefronts model when you say
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the loader teenage he's away young guy that we seem to
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finally i don't know if we see these but we start given to have a point of truce as
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an escalating as a human so no language model but that's not really able to pass the turing test
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maybe not completely the topic was bassett so yeah maybe we don't have time for this but
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uh you you can go around which more they're always to explain jokes on actually
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maybe maybe maybe you have to download the side adjusting the scene
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it's actually view some some other just by editing the next local body
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he simply able to give use expansion of joe which is something
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that seems really human on finally regarding the confusion between a human mine
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on the i said stan wouldn't to some others which are
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train only used at a set of images and text so
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you really asked me and what me and sites actually is the number of pairs of image and
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text on than what you can do is to train with us that if you give the text
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it can produce an image so two stages local used by the by an option on networks
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so to first walk would use if you didn't want the painting of the last they see the teaching right
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on the two at the bottom up would use if you ask it to produce images of some
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other so those images are converted generated by you know on it you meant in the planes see
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okay that was my age