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:image/png;base64,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 stinky length9010lengthOK21hey stinky

false

Catch errors. Runs the first script. If it succeeds, nothing else happens. But if it has an error (something that would otherwise result in a red halo around the block), then the second script is run, with the text of the error message that would have been shown in the variable ERROR.

pt:tenta executar _ e, em caso de erro _ , executa _ returnThrow an error. Makes a red halo appear around the script that runs it, with the input text shown in a speech balloon next to the script, just like any Snap! error. This is useful to put in the second script of SAFELY TRY after some other instructions to undo the partial work of the first script.

pt:lança o erro _ LET (FOO) BE (5) is equivalent to SCRIPT VARIABLES (FOO) SET (FOO) TO (5)

pt:cria a variável de guião _ com valor _ Catch errors in a reporter. Evaluates its first input. If that expression successfully reports a value, this block reports that value. If the expression causes a Snap! error, then the final input slot is evaluated with the text of what would have been the error message in variable ERROR. SAFELY TRY then reports the value of that final expression. Sometimes you'll want to throw an error in the final expression. You can put an ERROR block inside a CALL block to do that.

err

650071.65

Reports a new list containing the items of the input list, but in the opposite order.

ca:capgira _ 1inputresultReports a new list whose items are the same as in the input list, except that if two or more equal items appear in the input list, only the last one is kept in the result.

ca:elimina els duplicats de _ 1Reports a sorted version of the list in its first input slot, using the comparison function in the second input slot. For a list of numbers, using < as the comparison function will sort from low to high; using > will sort from high to low.

ca:ordena _ segons criteri _ copy of datasplitmerge11#1#2The second input is an "association list," a list of two-item lists. Each of those smaller lists has a "key" as its first item and a "value" as its second. ASSOC reports the first key-value pair in the association list whose key matches the first input.

ca:associació _ _ 11This block carries out the given script for each item of the given list, like the primitive FOR EACH. What's different is that it provides the # variable, which will contain the item number in the list of each item in turn, 1 while processing item 1, and so on.

ca:_ per cada _ de _ _ Takes as input a function of N inputs and N lists. The function is called with item 1 of all the lists as its inputs, with item 2 of all the lists as its inputs, and so on. (The lists should all be the same length.)

ZIP takes any number of lists as inputs. The lists should all be the same length. ZIP reports a list of lists in which the first item is a list of all the first items, the second item is a list of all the second items, etc. Viewing the inputs as the rows of a matrix, ZIP reports its transpose.

1The identity function reports its input.

PM] get - TeriyakiMan#3112 every the Name#3263 Anybody[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast,is,the,only,track,I,listen,"to,",but,tbh,prob,only,song,i've,heard,from,"them [12-Dec-19",07:30,AM],Immortal,D,Class,-,"SCP#0990 Deutschland",is,"decent [12-Dec-19",07:30,AM],Immortal,D,Class,-,"SCP#0990 sonne [12-Dec-19",07:30,AM],Immortal,D,Class,-,"SCP#0990 Rosenrot [12-Dec-19",07:30,AM],Immortal,D,Class,-,"SCP#0990 tbh",these,are,the,only,song,i,listen,to,(Du,hast,"included). [12-Dec-19",07:32,AM],Benjisaurus,"Rex#2582 oh",damn,Rosenrot,is,"great [12-Dec-19",07:33,AM],Immortal,D,Class,-,"SCP#0990 yes [12-Dec-19",10:25,AM],"TeriyakiMan#3112 how",is,the,GPT-2,model,trained?,it,seems,to,me,like,you,download,these,models,and,go,through,them,so,it's,already,"""pre-trained"" [12-Dec-19",10:25,AM],"TeriyakiMan#3112 every",time,you,enter,a,prompt,and,feed,it,to,a,tensorflow,session,is,the,model,trained?,(sorry,am,a,bit,new,to,machine,"learning) [12-Dec-19",10:46,AM],"TeriyakiMan#3112 oh",is,it,this,tf.train,"stuff [12-Dec-19",10:46,AM],"hobbitdoshire#7813 I",might,be,"wrong,",but,from,what,I,understand,GPT-2,model,by,OpenAi,gave,the,structure,and,it,was,previously,trained,by,feeds,lots,of,text,(at,least,the,stories,of,chooseyourstory,do,"com),",in,that,sense,it,is,"pre-trained then",when,you,start,a,story,and,for,each,bach,of,8-9,paragraph,(don't,know,if,the,start,seed,is,always,included),is,goes,into,the,trained,model,so,that,it,gives,back,the,words,that,should,follow,the,"story. None",the,"less,",the,rating,of,games,at,the,end,may,suggest,that,the,model,is,letter,"finetuned [12-Dec-19",10:47,AM],"hobbitdoshire#7813 but",if,it,changed,everytime,you,you'de,have,to,get,a,new,5gb,"model... [12-Dec-19",10:47,AM],"TeriyakiMan#3112 yeah",i,"gotcha [12-Dec-19",10:47,AM],"TeriyakiMan#3112 i",mean,the,model,seems,to,do,a,good,"job [12-Dec-19",10:47,AM],"TeriyakiMan#3112 im",trying,to,run,the,gpt-2,stuff,on,a,local,"machine [12-Dec-19",10:47,AM],"TeriyakiMan#3112 so",i,wanna,understand,the,conceptual,"stuff [12-Dec-19",10:48,AM],"hobbitdoshire#7813 if",you,read,the,story,about,GPT-2,model,they,hqd,to,delivery,it,to,public,with,a,quite,limited,model.,the,full,one,causes,serious,security,/,public,concern,"issues... [12-Dec-19",10:48,AM],"TeriyakiMan#3112 yeah [12-Dec-19",10:48,AM],"TeriyakiMan#3112 so",really,how,is,the,aidungeon,code,using,gpt-2,to,"""train"" [12-Dec-19",10:48,AM],"TeriyakiMan#3112 or",is,it,"not [12-Dec-19",10:48,AM],"TeriyakiMan#3112 does",it,just,encourage,you,to,use,better,prompts,to,better,utilize,the,gpt-2,"model [12-Dec-19",10:49,AM],"hobbitdoshire#7813 scraping",chooseyourstory,do,com,also,means,that,you,have,tons,of,story,/,words,related,to,"sci,","fantasy,",slice,of,"life,","horror,",fan,"fiction [12-Dec-19",10:49,AM],"hobbitdoshire#7813 so",its,surprising,what,it,seems,to,"""know""","about [12-Dec-19",11:04,AM],"hobbitdoshire#7813 I",never,diped,into,deep,learning,only,basic,neural,"networks,",and,based,on,a,"""quick""",look,on,the,sources,at,"https://github.com/AIDungeon/AIDungeon/ at",least,one,way,it,utilises,is,by,feeding,only,relevant,"info,",and,some,preprocessing,like,adding,"""you""",when,you,write,something.,but,that,is,the,last,part.,where,it,only,uses,the,"model. {Embed} https://github.com/AIDungeon/AIDungeon/ AIDungeon/AIDungeon Infinite",AI,adventures,await!,Contribute,to,AIDungeon/AIDungeon,development,by,creating,an,account,on,"GitHub. https://avatars1.githubusercontent.com/u/58671004?s=400&v=4 [12-Dec-19",11:05,AM],"hobbitdoshire#7813 this",is,a,bit,new,to,me,also,"😋 [12-Dec-19",11:06,AM],"hobbitdoshire#7813 but",the,AIDungeon/data/,folder,seems,to,have,the,code,to,scrape,the,websites,",",preprocess,it,/clean,it,,and,build,training,"data [12-Dec-19",11:09,AM],"hobbitdoshire#7813 thats",one,part,of,what,makes,AI,Dungeon,different.,Then,the,/generator,has,the,model.,/generator/gpt2/src/model.py,in,particular,has,tenserflow,code,(deeplearning),but,again...,never,user,deeplearning,and,python,is,not,"strength [12-Dec-19",11:11,AM],"hobbitdoshire#7813 sorry",I,can't,help,more,than,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the,developer,gets,credit,for,inventing,and,distributing,for,free,the,precursor,of,user-computing,for,the,next,half,"century. [12-Dec-19",01:05,PM],"cathead#0563 well",there's,a,number,of,groups/people,invovled,in,making,this,a,"reality [12-Dec-19",01:05,PM],"cathead#0563 this",wouldn't,be,possible,without,the,GPT-2,"model [12-Dec-19",01:39,PM],"ro#4285 good","points! [12-Dec-19",02:50,PM],"Audixas#0123 global",twitch,emotes,were,a,"mistake {Attachments} https://cdn.discordapp.com/attachments/653774048756498462/654802218154852422/unknown.png [12-Dec-19",03:51,PM],"Name#3263 How",did,you,do,"it? [12-Dec-19",03:51,PM],Benjisaurus,"Rex#2582 oh",my,god,"no [12-Dec-19",03:51,PM],"Name#3263 Yes,yes... [12-Dec-19",04:21,PM],"Name#3263 Anybody",played,Dwarf,"Fortress? [12-Dec-19",04:27,PM],"DeadlyBlueApples#0403 ✋ [12-Dec-19",04:30,PM],"Name#3263 Proud",of,"you [12-Dec-19",04:30,PM],"Name#3263 Not",many,can,handle,this,"game [12-Dec-19",04:43,PM],pringle,"man#8504 same [12-Dec-19",04:43,PM],pringle,"man#8504 love","df [12-Dec-19",05:06,PM],"VampirkoO#0755 i",did,"too [12-Dec-19",05:21,PM],BorkBork#4699,world,,,[12-Dec-19,07:29,AM],Benjisaurus,,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast,is07:29,AM],Benjisaurus,"Rex#2582 Du",Hast,is,theAM],Benjisaurus,"Rex#2582 Du",Hast,is,the,onlyBenjisaurus,"Rex#2582 Du",Hast,is,the,only,track"Rex#2582 Du",Hast,is,the,only,track,IHast,is,the,only,track,I,listenis,the,only,track,I,listen,"to,"the,only,track,I,listen,"to,",butonly,track,I,listen,"to,",but,tbhtrack,I,listen,"to,",but,tbh,probI,listen,"to,",but,tbh,prob,onlylisten,"to,",but,tbh,prob,only,song"to,",but,tbh,prob,only,song,i'veHast,is,the,only,track,I,listentbh,prob,only,song,i've,heard,fromprob,only,song,i've,heard,from,"them [12-Dec-19"only,song,i've,heard,from,"them [12-Dec-19",07:30song,i've,heard,from,"them [12-Dec-19",07:30,AM]i've,heard,from,"them [12-Dec-19",07:30,AM],Immortalheard,from,"them [12-Dec-19",07:30,AM],Immortal,D,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"them [12-Dec-19",07:30,AM],Immortal,D,Class,-07:30,AM],Immortal,D,Class,-,"SCP#0990 Deutschland"AM],Immortal,D,Class,-,"SCP#0990 Deutschland",isImmortal,D,Class,-,"SCP#0990 Deutschland",is,"decent [12-Dec-19"D,Class,-,"SCP#0990 Deutschland",is,"decent [12-Dec-19",07:30Benjisaurus,"Rex#2582 Du",Hast,is,the,only,track-,"SCP#0990 Deutschland",is,"decent [12-Dec-19",07:30,AM],Immortalheard,from,"them [12-Dec-19",07:30,AM],Immortal,D,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"them [12-Dec-19",07:30,AM],Immortal,D,Class,-07:30,AM],Immortal,D,Class,-,"SCP#0990 Deutschland"AM],Immortal,D,Class,-,"SCP#0990 Deutschland",isImmortal,D,Class,-,"SCP#0990 Deutschland",is,"decent [12-Dec-19"D,Class,-,"SCP#0990 sonne [12-Dec-19",07:30,AM],Immortalheard,from,"them [12-Dec-19",07:30,AM],Immortal,D,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"them [12-Dec-19",07:30,AM],Immortal,D,Class,-07:30,AM],Immortal,D,Class,-,"SCP#0990 Deutschland"AM],Immortal,D,Class,-,"SCP#0990 Deutschland",isImmortal,D,Class,-,"SCP#0990 Deutschland",is,"decent [12-Dec-19"D,Class,-,"SCP#0990 Rosenrot [12-Dec-19",07:30,AM],Immortalheard,from,"them [12-Dec-19",07:30,AM],Immortal,D,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"them [12-Dec-19",07:30,AM],Immortal,D,Class,-07:30,AM],Immortal,D,Class,-,"SCP#0990 Deutschland"AM],Immortal,D,Class,-,"SCP#0990 Deutschland",isImmortal,D,Class,-,"SCP#0990 Deutschland",is,"decent [12-Dec-19"D,Class,-,"SCP#0990 tbh",these,are,theClass,-,"SCP#0990 tbh",these,are,the,only-,"SCP#0990 tbh",these,are,the,only,song"Rex#2582 Du",Hast,is,the,only,track,IHast,is,the,only,track,I,listentbh,prob,only,song,i've,heard,fromthe,only,track,I,listen,"to,",butonly,track,I,listen,"to,",but,tbhsong,i,listen,to,(Du,hast,"included). [12-Dec-19"i,listen,to,(Du,hast,"included). [12-Dec-19",07:32AM],Benjisaurus,"Rex#2582 Du",Hast,is,the,onlyto,(Du,hast,"included). [12-Dec-19",07:32,AM],Benjisaurus(Du,hast,"included). [12-Dec-19",07:32,AM],Benjisaurus,"Rex#2582 oh",[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast,is07:32,AM],Benjisaurus,"Rex#2582 oh",damn,Rosenrot,isAM],Benjisaurus,"Rex#2582 oh",damn,Rosenrot,is,"great [12-Dec-19"Benjisaurus,"Rex#2582 oh",damn,Rosenrot,is,"great [12-Dec-19",07:33Benjisaurus,"Rex#2582 Du",Hast,is,the,only,trackdamn,Rosenrot,is,"great [12-Dec-19",07:33,AM],ImmortalRosenrot,is,"great [12-Dec-19",07:33,AM],Immortal,D,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"them [12-Dec-19",07:30,AM],Immortal,D,Class,-07:30,AM],Immortal,D,Class,-,"SCP#0990 Deutschland"AM],Immortal,D,Class,-,"SCP#0990 Deutschland",isImmortal,D,Class,-,"SCP#0990 Deutschland",is,"decent [12-Dec-19"D,Class,-,"SCP#0990 yes [12-Dec-19",10:25,AM],"TeriyakiMan#3112 how"Class,-,"SCP#0990 yes [12-Dec-19",10:25,AM],"TeriyakiMan#3112 how",is,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"SCP#0990 yes [12-Dec-19",10:25,AM],"TeriyakiMan#3112 how",is,the,GPT-2Benjisaurus,"Rex#2582 Du",Hast,is,the,only,track"Rex#2582 Du",Hast,is,the,only,track,I"TeriyakiMan#3112 how",is,the,GPT-2,model,trained?,itis,the,GPT-2,model,trained?,it,seemsthe,GPT-2,model,trained?,it,seems,toGPT-2,model,trained?,it,seems,to,memodel,trained?,it,seems,to,me,likesong,i,listen,to,(Du,hast,"included). [12-Dec-19"it,seems,to,me,like,you,downloadseems,to,me,like,you,download,theseto,me,like,you,download,these,modelsme,like,you,download,these,models,andClass,-,"SCP#0990 tbh",these,are,the,onlyyou,download,these,models,and,go,throughdownload,these,models,and,go,through,themthese,models,and,go,through,them,somodels,and,go,through,them,so,it'sand,go,through,them,so,it's,alreadygo,through,them,so,it's,already,"""pre-trained"" [12-Dec-19"through,them,so,it's,already,"""pre-trained"" [12-Dec-19",10:25them,so,it's,already,"""pre-trained"" [12-Dec-19",10:25,AM]so,it's,already,"""pre-trained"" [12-Dec-19",10:25,AM],"TeriyakiMan#3112 every"Class,-,"SCP#0990 yes [12-Dec-19",10:25,AM],"TeriyakiMan#3112 how",is,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"""pre-trained"" [12-Dec-19",10:25,AM],"TeriyakiMan#3112 every",time,you,enter10:25,AM],"TeriyakiMan#3112 every",time,you,enter,ato,me,like,you,download,these,models"TeriyakiMan#3112 every",time,you,enter,a,prompt,andtime,you,enter,a,prompt,and,feedyou,enter,a,prompt,and,feed,itdownload,these,models,and,go,through,thema,prompt,and,feed,it,to,aGPT-2,model,trained?,it,seems,to,mesong,i,listen,to,(Du,hast,"included). [12-Dec-19"time,you,enter,a,prompt,and,feedit,to,a,tensorflow,session,is,theto,a,tensorflow,session,is,the,modelBenjisaurus,"Rex#2582 Du",Hast,is,the,only,track"Rex#2582 Du",Hast,is,the,only,track,Iis,the,GPT-2,model,trained?,it,seemsthe,GPT-2,model,trained?,it,seems,tothe,model,trained?,(sorry,am,a,bitmodel,trained?,(sorry,am,a,bit,newtime,you,enter,a,prompt,and,feed(sorry,am,a,bit,new,to,machineam,a,bit,new,to,machine,"learning) [12-Dec-19"song,i,listen,to,(Du,hast,"included). [12-Dec-19"bit,new,to,machine,"learning) [12-Dec-19",10:46,AM]new,to,machine,"learning) [12-Dec-19",10:46,AM],"TeriyakiMan#3112 oh"to,machine,"learning) [12-Dec-19",10:46,AM],"TeriyakiMan#3112 oh",is,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"learning) [12-Dec-19",10:46,AM],"TeriyakiMan#3112 oh",is,it,thisBenjisaurus,"Rex#2582 Du",Hast,is,the,only,trackGPT-2,model,trained?,it,seems,to,me"TeriyakiMan#3112 oh",is,it,this,tf.train,"stuff [12-Dec-19",10:46is,it,this,tf.train,"stuff [12-Dec-19",10:46,AM]it,this,tf.train,"stuff [12-Dec-19",10:46,AM],"hobbitdoshire#7813 I"to,machine,"learning) [12-Dec-19",10:46,AM],"TeriyakiMan#3112 oh",is,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"stuff [12-Dec-19",10:46,AM],"hobbitdoshire#7813 I",might,be,"wrong,"10:46,AM],"hobbitdoshire#7813 I",might,be,"wrong,",butAM],"hobbitdoshire#7813 I",might,be,"wrong,",but,from"hobbitdoshire#7813 I",might,be,"wrong,",but,from,whatI,listen,"to,",but,tbh,prob,onlysong,i've,heard,from,"them [12-Dec-19",07:30,AM]"wrong,",but,from,what,I,understand,GPT-2the,only,track,I,listen,"to,",butfrom,what,I,understand,GPT-2,model,by"TeriyakiMan#3112 how",is,the,GPT-2,model,trained?,itis,the,GPT-2,model,trained?,it,seemsunderstand,GPT-2,model,by,OpenAi,gave,theGPT-2,model,by,OpenAi,gave,the,structuremodel,by,OpenAi,gave,the,structure,and"Rex#2582 Du",Hast,is,the,only,track,IOpenAi,gave,the,structure,and,it,wasdownload,these,models,and,go,through,themGPT-2,model,trained?,it,seems,to,mestructure,and,it,was,previously,trained,byand,it,was,previously,trained,by,feedsit,was,previously,trained,by,feeds,lotsunderstand,GPT-2,model,by,OpenAi,gave,thepreviously,trained,by,feeds,lots,of,texttrained,by,feeds,lots,of,text,(atby,feeds,lots,of,text,(at,leastfeeds,lots,of,text,(at,least,thelots,of,text,(at,least,the,storiesof,text,(at,least,the,stories,of"Rex#2582 Du",Hast,is,the,only,track,I(at,least,the,stories,of,chooseyourstory,doby,feeds,lots,of,text,(at,leastthe,stories,of,chooseyourstory,do,"com),",instories,of,chooseyourstory,do,"com),",in,thatof,chooseyourstory,do,"com),",in,that,sensechooseyourstory,do,"com),",in,that,sense,itdo,"com),",in,that,sense,it,is"com),",in,that,sense,it,is,"pre-trained then"GPT-2,model,trained?,it,seems,to,meBenjisaurus,"Rex#2582 Du",Hast,is,the,only,tracksense,it,is,"pre-trained then",when,you,startit,is,"pre-trained then",when,you,start,ato,me,like,you,download,these,models"pre-trained then",when,you,start,a,story,andtime,you,enter,a,prompt,and,feedyou,start,a,story,and,for,eachdownload,these,models,and,go,through,thema,story,and,for,each,bach,ofstory,and,for,each,bach,of,8-9and,for,each,bach,of,8-9,paragraphby,feeds,lots,of,text,(at,leasteach,bach,of,8-9,paragraph,(don't,knowbach,of,8-9,paragraph,(don't,know,ifof,8-9,paragraph,(don't,know,if,the8-9,paragraph,(don't,know,if,the,startparagraph,(don't,know,if,the,start,seed"Rex#2582 Du",Hast,is,the,only,track,I"pre-trained then",when,you,start,a,story,andif,the,start,seed,is,always,included)Benjisaurus,"Rex#2582 Du",Hast,is,the,only,trackstart,seed,is,always,included),is,goesseed,is,always,included),is,goes,intoBenjisaurus,"Rex#2582 Du",Hast,is,the,only,trackalways,included),is,goes,into,the,trainedincluded),is,goes,into,the,trained,model"Rex#2582 Du",Hast,is,the,only,track,Iit,was,previously,trained,by,feeds,lotsis,the,GPT-2,model,trained?,it,seemsgo,through,them,so,it's,already,"""pre-trained"" [12-Dec-19"do,"com),",in,that,sense,it,isGPT-2,model,trained?,it,seems,to,meso,that,it,gives,back,the,wordsthat,it,gives,back,the,words,that"Rex#2582 Du",Hast,is,the,only,track,Igives,back,the,words,that,should,followdo,"com),",in,that,sense,it,isthe,words,that,should,follow,the,"story. None"words,that,should,follow,the,"story. None",the"Rex#2582 Du",Hast,is,the,only,track,Ishould,follow,the,"story. None",the,"less,",the"Rex#2582 Du",Hast,is,the,only,track,Ithe,"story. None",the,"less,",the,rating,of"Rex#2582 Du",Hast,is,the,only,track,Ithe,"less,",the,rating,of,games,atby,feeds,lots,of,text,(at,leastthe,rating,of,games,at,the,endrating,of,games,at,the,end,may"Rex#2582 Du",Hast,is,the,only,track,Igames,at,the,end,may,suggest,thatat,the,end,may,suggest,that,thethe,end,may,suggest,that,the,modeldo,"com),",in,that,sense,it,is"Rex#2582 Du",Hast,is,the,only,track,Iis,the,GPT-2,model,trained?,it,seemsBenjisaurus,"Rex#2582 Du",Hast,is,the,only,trackthe,model,is,letter,"finetuned [12-Dec-19",10:47,AM]model,is,letter,"finetuned [12-Dec-19",10:47,AM],"hobbitdoshire#7813 but"is,letter,"finetuned [12-Dec-19",10:47,AM],"hobbitdoshire#7813 but",if,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"finetuned [12-Dec-19",10:47,AM],"hobbitdoshire#7813 but",if,it,changedparagraph,(don't,know,if,the,start,seedGPT-2,model,trained?,it,seems,to,me"hobbitdoshire#7813 but",if,it,changed,everytime,you,you'deif,it,changed,everytime,you,you'de,haveto,me,like,you,download,these,modelschanged,everytime,you,you'de,have,to,geteverytime,you,you'de,have,to,get,asong,i,listen,to,(Du,hast,"included). [12-Dec-19"you'de,have,to,get,a,new,5gbtime,you,enter,a,prompt,and,feedam,a,bit,new,to,machine,"learning) [12-Dec-19"get,a,new,5gb,"model... [12-Dec-19",10:47,AM]a,new,5gb,"model... [12-Dec-19",10:47,AM],"TeriyakiMan#3112 yeah"is,letter,"finetuned [12-Dec-19",10:47,AM],"hobbitdoshire#7813 but",if,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"model... [12-Dec-19",10:47,AM],"TeriyakiMan#3112 yeah",i,"gotcha [12-Dec-19",10:47the,only,track,I,listen,"to,",butAM],"TeriyakiMan#3112 yeah",i,"gotcha [12-Dec-19",10:47,AM],"TeriyakiMan#3112 i"is,letter,"finetuned [12-Dec-19",10:47,AM],"hobbitdoshire#7813 but",if,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"gotcha [12-Dec-19",10:47,AM],"TeriyakiMan#3112 i",mean,the,model10:47,AM],"TeriyakiMan#3112 i",mean,the,model,seems"Rex#2582 Du",Hast,is,the,only,track,Iis,the,GPT-2,model,trained?,it,seemsmodel,trained?,it,seems,to,me,likesong,i,listen,to,(Du,hast,"included). [12-Dec-19"stories,of,chooseyourstory,do,"com),",in,thattime,you,enter,a,prompt,and,feedto,do,a,good,"job [12-Dec-19",10:47,AM]do,a,good,"job [12-Dec-19",10:47,AM],"TeriyakiMan#3112 im"is,letter,"finetuned [12-Dec-19",10:47,AM],"hobbitdoshire#7813 but",if,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"job [12-Dec-19",10:47,AM],"TeriyakiMan#3112 im",trying,to,run10:47,AM],"TeriyakiMan#3112 im",trying,to,run,thesong,i,listen,to,(Du,hast,"included). [12-Dec-19""TeriyakiMan#3112 im",trying,to,run,the,gpt-2,stuff"Rex#2582 Du",Hast,is,the,only,track,I"TeriyakiMan#3112 how",is,the,GPT-2,model,trained?,itrun,the,gpt-2,stuff,on,a,localthe,gpt-2,stuff,on,a,local,"machine [12-Dec-19"time,you,enter,a,prompt,and,feedstuff,on,a,local,"machine [12-Dec-19",10:47,AM]on,a,local,"machine [12-Dec-19",10:47,AM],"TeriyakiMan#3112 so"is,letter,"finetuned [12-Dec-19",10:47,AM],"hobbitdoshire#7813 but",if,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"machine [12-Dec-19",10:47,AM],"TeriyakiMan#3112 so",i,wanna,understandthe,only,track,I,listen,"to,",butAM],"TeriyakiMan#3112 so",i,wanna,understand,the,conceptualfrom,what,I,understand,GPT-2,model,by"Rex#2582 Du",Hast,is,the,only,track,Iwanna,understand,the,conceptual,"stuff [12-Dec-19",10:48,AM]it,this,tf.train,"stuff [12-Dec-19",10:46,AM],"hobbitdoshire#7813 I"the,conceptual,"stuff [12-Dec-19",10:48,AM],"hobbitdoshire#7813 if",you,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"stuff [12-Dec-19",10:48,AM],"hobbitdoshire#7813 if",you,read,theto,me,like,you,download,these,modelsAM],"hobbitdoshire#7813 if",you,read,the,story,about"Rex#2582 Du",Hast,is,the,only,track,Iyou,start,a,story,and,for,eachread,the,story,about,GPT-2,model,they"TeriyakiMan#3112 how",is,the,GPT-2,model,trained?,itis,the,GPT-2,model,trained?,it,seemsabout,GPT-2,model,they,hqd,to,deliveryGPT-2,model,they,hqd,to,delivery,itsong,i,listen,to,(Du,hast,"included). [12-Dec-19"they,hqd,to,delivery,it,to,publicGPT-2,model,trained?,it,seems,to,mesong,i,listen,to,(Du,hast,"included). [12-Dec-19"delivery,it,to,public,with,a,quiteit,to,public,with,a,quite,limitedtime,you,enter,a,prompt,and,feedpublic,with,a,quite,limited,model.,thewith,a,quite,limited,model.,the,fulla,quite,limited,model.,the,full,one"Rex#2582 Du",Hast,is,the,only,track,Ilimited,model.,the,full,one,causes,seriousmodel.,the,full,one,causes,serious,securitythe,full,one,causes,serious,security,/full,one,causes,serious,security,/,publicone,causes,serious,security,/,public,concerncauses,serious,security,/,public,concern,"issues... [12-Dec-19"delivery,it,to,public,with,a,quitesecurity,/,public,concern,"issues... [12-Dec-19",10:48,AM]/,public,concern,"issues... [12-Dec-19",10:48,AM],"TeriyakiMan#3112 yeah [12-Dec-19"the,conceptual,"stuff [12-Dec-19",10:48,AM],"hobbitdoshire#7813 if",you,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"issues... [12-Dec-19",10:48,AM],"TeriyakiMan#3112 yeah [12-Dec-19",10:48,AM],"TeriyakiMan#3112 so"the,conceptual,"stuff [12-Dec-19",10:48,AM],"hobbitdoshire#7813 if",you,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"machine [12-Dec-19",10:47,AM],"TeriyakiMan#3112 so",i,wanna,understand10:48,AM],"TeriyakiMan#3112 so",really,how,is,theAM],"TeriyakiMan#3112 so",really,how,is,the,aidungeonBenjisaurus,"Rex#2582 Du",Hast,is,the,only,track"Rex#2582 Du",Hast,is,the,only,track,Ihow,is,the,aidungeon,code,using,gpt-2is,the,aidungeon,code,using,gpt-2,tothe,aidungeon,code,using,gpt-2,to,"""train"" [12-Dec-19""TeriyakiMan#3112 how",is,the,GPT-2,model,trained?,itsong,i,listen,to,(Du,hast,"included). [12-Dec-19"using,gpt-2,to,"""train"" [12-Dec-19",10:48,AM],"TeriyakiMan#3112 or"the,conceptual,"stuff [12-Dec-19",10:48,AM],"hobbitdoshire#7813 if",you,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"""train"" [12-Dec-19",10:48,AM],"TeriyakiMan#3112 or",is,it,"not [12-Dec-19"Benjisaurus,"Rex#2582 Du",Hast,is,the,only,trackGPT-2,model,trained?,it,seems,to,me"TeriyakiMan#3112 or",is,it,"not [12-Dec-19",10:48,AM],"TeriyakiMan#3112 does"the,conceptual,"stuff [12-Dec-19",10:48,AM],"hobbitdoshire#7813 if",you,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"not [12-Dec-19",10:48,AM],"TeriyakiMan#3112 does",it,just,encourageGPT-2,model,trained?,it,seems,to,meAM],"TeriyakiMan#3112 does",it,just,encourage,you,to"TeriyakiMan#3112 does",it,just,encourage,you,to,useto,me,like,you,download,these,modelssong,i,listen,to,(Du,hast,"included). [12-Dec-19"encourage,you,to,use,better,prompts,toyou,to,use,better,prompts,to,betterto,use,better,prompts,to,better,utilizesong,i,listen,to,(Du,hast,"included). [12-Dec-19"you,to,use,better,prompts,to,betterprompts,to,better,utilize,the,gpt-2,"model [12-Dec-19""Rex#2582 Du",Hast,is,the,only,track,I"TeriyakiMan#3112 how",is,the,GPT-2,model,trained?,itutilize,the,gpt-2,"model [12-Dec-19",10:49,AM],"hobbitdoshire#7813 scraping"the,gpt-2,"model [12-Dec-19",10:49,AM],"hobbitdoshire#7813 scraping",chooseyourstory,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"model [12-Dec-19",10:49,AM],"hobbitdoshire#7813 scraping",chooseyourstory,do,comthe,stories,of,chooseyourstory,do,"com),",instories,of,chooseyourstory,do,"com),",in,that"hobbitdoshire#7813 scraping",chooseyourstory,do,com,also,means,thatchooseyourstory,do,com,also,means,that,youdo,com,also,means,that,you,havedo,"com),",in,that,sense,it,isto,me,like,you,download,these,modelseverytime,you,you'de,have,to,get,athat,you,have,tons,of,story,/by,feeds,lots,of,text,(at,leastyou,start,a,story,and,for,eachcauses,serious,security,/,public,concern,"issues... [12-Dec-19"gives,back,the,words,that,should,followstory,/,words,related,to,"sci,","fantasy,"song,i,listen,to,(Du,hast,"included). [12-Dec-19"words,related,to,"sci,","fantasy,",slice,ofrelated,to,"sci,","fantasy,",slice,of,"life,"to,"sci,","fantasy,",slice,of,"life,","horror,"by,feeds,lots,of,text,(at,least"fantasy,",slice,of,"life,","horror,",fan,"fiction [12-Dec-19"slice,of,"life,","horror,",fan,"fiction [12-Dec-19",10:49of,"life,","horror,",fan,"fiction [12-Dec-19",10:49,AM]"life,","horror,",fan,"fiction [12-Dec-19",10:49,AM],"hobbitdoshire#7813 so"the,gpt-2,"model [12-Dec-19",10:49,AM],"hobbitdoshire#7813 scraping",chooseyourstory,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"fiction [12-Dec-19",10:49,AM],"hobbitdoshire#7813 so",its,surprising,what10:49,AM],"hobbitdoshire#7813 so",its,surprising,what,itAM],"hobbitdoshire#7813 so",its,surprising,what,it,seems"wrong,",but,from,what,I,understand,GPT-2GPT-2,model,trained?,it,seems,to,memodel,trained?,it,seems,to,me,likesong,i,listen,to,(Du,hast,"included). 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[12-Dec-19"await!,Contribute,to,AIDungeon/AIDungeon,development,by,creatingContribute,to,AIDungeon/AIDungeon,development,by,creating,anunderstand,GPT-2,model,by,OpenAi,gave,theAIDungeon/AIDungeon,development,by,creating,an,account,ondevelopment,by,creating,an,account,on,"GitHub. https://avatars1.githubusercontent.com/u/58671004?s=400&v=4 [12-Dec-19"by,creating,an,account,on,"GitHub. https://avatars1.githubusercontent.com/u/58671004?s=400&v=4 [12-Dec-19",11:05the,gpt-2,stuff,on,a,local,"machine [12-Dec-19"an,account,on,"GitHub. https://avatars1.githubusercontent.com/u/58671004?s=400&v=4 [12-Dec-19",11:05,AM],"hobbitdoshire#7813 this"account,on,"GitHub. https://avatars1.githubusercontent.com/u/58671004?s=400&v=4 [12-Dec-19",11:05,AM],"hobbitdoshire#7813 this",is,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"GitHub. https://avatars1.githubusercontent.com/u/58671004?s=400&v=4 [12-Dec-19",11:05,AM],"hobbitdoshire#7813 this",is,a,bitBenjisaurus,"Rex#2582 Du",Hast,is,the,only,tracktime,you,enter,a,prompt,and,feed(sorry,am,a,bit,new,to,machineam,a,bit,new,to,machine,"learning) [12-Dec-19"song,i,listen,to,(Du,hast,"included). [12-Dec-19"it,seems,to,me,like,you,downloadchooseyourstory,do,com,also,means,that,youto,me,also,"😋 [12-Dec-19",11:06,AM],"hobbitdoshire#7813 but"me,also,"😋 [12-Dec-19",11:06,AM],"hobbitdoshire#7813 but",the,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"finetuned [12-Dec-19",10:47,AM],"hobbitdoshire#7813 but",if,it,changed"Rex#2582 Du",Hast,is,the,only,track,IAM],"hobbitdoshire#7813 but",the,AIDungeon/data/,folder,seems,to"hobbitdoshire#7813 but",the,AIDungeon/data/,folder,seems,to,havemodel,trained?,it,seems,to,me,likesong,i,listen,to,(Du,hast,"included). [12-Dec-19"everytime,you,you'de,have,to,get,a"Rex#2582 Du",Hast,is,the,only,track,Iis,the,aidungeon,code,using,gpt-2,tosong,i,listen,to,(Du,hast,"included). [12-Dec-19"the,code,to,scrape,the,websites,",""Rex#2582 Du",Hast,is,the,only,track,Ito,scrape,the,websites,",",preprocess,itscrape,the,websites,",",preprocess,it,/cleanthe,websites,",",preprocess,it,/clean,itGPT-2,model,trained?,it,seems,to,me",",preprocess,it,/clean,it,,andGPT-2,model,trained?,it,seems,to,meit,/clean,it,,and,build,trainingdownload,these,models,and,go,through,themit,,and,build,training,"data [12-Dec-19",11:09,and,build,training,"data [12-Dec-19",11:09,AM]and,build,training,"data [12-Dec-19",11:09,AM],"hobbitdoshire#7813 thats"build,training,"data [12-Dec-19",11:09,AM],"hobbitdoshire#7813 thats",one,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"data [12-Dec-19",11:09,AM],"hobbitdoshire#7813 thats",one,part,ofmodel.,the,full,one,causes,serious,securityAM],"hobbitdoshire#7813 thats",one,part,of,what,makesby,feeds,lots,of,text,(at,least"wrong,",but,from,what,I,understand,GPT-2part,of,what,makes,AI,Dungeon,different.uses,the,"model. {Embed} https://github.com/AIDungeon/AIDungeon/ AIDungeon/AIDungeon Infinite",AI,adventures,await!,Contributewhat,makes,AI,Dungeon,different.,Then,themakes,AI,Dungeon,different.,Then,the,/generatorAI,Dungeon,different.,Then,the,/generator,has"Rex#2582 Du",Hast,is,the,only,track,Idifferent.,Then,the,/generator,has,the,model.Then,the,/generator,has,the,model.,/generator/gpt2/src/model.py"Rex#2582 Du",Hast,is,the,only,track,Ia,quite,limited,model.,the,full,onehas,the,model.,/generator/gpt2/src/model.py,in,particular,haschooseyourstory,do,"com),",in,that,sense,itmodel.,/generator/gpt2/src/model.py,in,particular,has,tenserflow,codeThen,the,/generator,has,the,model.,/generator/gpt2/src/model.pyin,particular,has,tenserflow,code,(deeplearning),butis,the,aidungeon,code,using,gpt-2,tohas,tenserflow,code,(deeplearning),but,again...,neverI,listen,"to,",but,tbh,prob,onlycode,(deeplearning),but,again...,never,user,deeplearning11:04,AM],"hobbitdoshire#7813 I",never,diped,into,deepbut,again...,never,user,deeplearning,and,pythonagain...,never,user,deeplearning,and,python,isdownload,these,models,and,go,through,themuser,deeplearning,and,python,is,not,"strength [12-Dec-19"Benjisaurus,"Rex#2582 Du",Hast,is,the,only,trackand,python,is,not,"strength [12-Dec-19",11:11,AM]python,is,not,"strength [12-Dec-19",11:11,AM],"hobbitdoshire#7813 sorry"is,not,"strength [12-Dec-19",11:11,AM],"hobbitdoshire#7813 sorry",I,[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast"strength [12-Dec-19",11:11,AM],"hobbitdoshire#7813 sorry",I,can't,helpthe,only,track,I,listen,"to,",butAM],"hobbitdoshire#7813 sorry",I,can't,help,more,than"hobbitdoshire#7813 sorry",I,can't,help,more,than,"that [12-Dec-19"I,can't,help,more,than,"that [12-Dec-19",12:43can't,help,more,than,"that [12-Dec-19",12:43,PM]help,more,than,"that [12-Dec-19",12:43,PM],"ro#4285 I"more,than,"that [12-Dec-19",12:43,PM],"ro#4285 I",hopethan,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the,developer12:43,PM],"ro#4285 I",hope,the,developer,gets"Rex#2582 Du",Hast,is,the,only,track,I"ro#4285 I",hope,the,developer,gets,credit,forhope,the,developer,gets,credit,for,inventingthe,developer,gets,credit,for,inventing,anda,story,and,for,each,bach,ofgets,credit,for,inventing,and,distributing,fordownload,these,models,and,go,through,themfor,inventing,and,distributing,for,free,thea,story,and,for,each,bach,ofand,distributing,for,free,the,precursor,of"Rex#2582 Du",Hast,is,the,only,track,Ifor,free,the,precursor,of,user-computing,forby,feeds,lots,of,text,(at,leastthe,precursor,of,user-computing,for,the,nexta,story,and,for,each,bach,of"Rex#2582 Du",Hast,is,the,only,track,Iuser-computing,for,the,next,half,"century. [12-Dec-19",01:05for,the,next,half,"century. [12-Dec-19",01:05,PM]the,next,half,"century. [12-Dec-19",01:05,PM],"cathead#0563 well"next,half,"century. [12-Dec-19",01:05,PM],"cathead#0563 well",there'sthan,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"century. [12-Dec-19",01:05,PM],"cathead#0563 well",there's,a,number01:05,PM],"cathead#0563 well",there's,a,number,oftime,you,enter,a,prompt,and,feed"cathead#0563 well",there's,a,number,of,groups/people,invovledby,feeds,lots,of,text,(at,leasta,number,of,groups/people,invovled,in,makingnumber,of,groups/people,invovled,in,making,thischooseyourstory,do,"com),",in,that,sense,itgroups/people,invovled,in,making,this,a,"reality [12-Dec-19""TeriyakiMan#3112 oh",is,it,this,tf.train,"stuff [12-Dec-19",10:46time,you,enter,a,prompt,and,feedmaking,this,a,"reality [12-Dec-19",01:05,PM],"cathead#0563 this"next,half,"century. [12-Dec-19",01:05,PM],"cathead#0563 well",there'sthan,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"reality [12-Dec-19",01:05,PM],"cathead#0563 this",wouldn't,be,possible01:05,PM],"cathead#0563 this",wouldn't,be,possible,withoutAM],"hobbitdoshire#7813 I",might,be,"wrong,",but,from"cathead#0563 this",wouldn't,be,possible,without,the,GPT-2wouldn't,be,possible,without,the,GPT-2,"model [12-Dec-19""Rex#2582 Du",Hast,is,the,only,track,I"TeriyakiMan#3112 how",is,the,GPT-2,model,trained?,itutilize,the,gpt-2,"model [12-Dec-19",10:49,AM],"hobbitdoshire#7813 scraping"the,GPT-2,"model [12-Dec-19",01:39,PM],"ro#4285 good","points! [12-Dec-19"than,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"model [12-Dec-19",01:39,PM],"ro#4285 good","points! [12-Dec-19",02:50,PM]01:39,PM],"ro#4285 good","points! [12-Dec-19",02:50,PM],"Audixas#0123 global"PM],"ro#4285 good","points! [12-Dec-19",02:50,PM],"Audixas#0123 global",twitchthan,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"points! [12-Dec-19",02:50,PM],"Audixas#0123 global",twitch,emotes,were02:50,PM],"Audixas#0123 global",twitch,emotes,were,aPM],"Audixas#0123 global",twitch,emotes,were,a,"mistake {Attachments} https://cdn.discordapp.com/attachments/653774048756498462/654802218154852422/unknown.png [12-Dec-19""Audixas#0123 global",twitch,emotes,were,a,"mistake {Attachments} https://cdn.discordapp.com/attachments/653774048756498462/654802218154852422/unknown.png [12-Dec-19",03:51time,you,enter,a,prompt,and,feedemotes,were,a,"mistake {Attachments} https://cdn.discordapp.com/attachments/653774048756498462/654802218154852422/unknown.png [12-Dec-19",03:51,PM],"Name#3263 How"were,a,"mistake {Attachments} https://cdn.discordapp.com/attachments/653774048756498462/654802218154852422/unknown.png [12-Dec-19",03:51,PM],"Name#3263 How",didthan,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"mistake {Attachments} https://cdn.discordapp.com/attachments/653774048756498462/654802218154852422/unknown.png [12-Dec-19",03:51,PM],"Name#3263 How",did,you,do03:51,PM],"Name#3263 How",did,you,do,"it? [12-Dec-19"to,me,like,you,download,these,modelsstories,of,chooseyourstory,do,"com),",in,thatdid,you,do,"it? [12-Dec-19",03:51,PM],Benjisauruswere,a,"mistake {Attachments} https://cdn.discordapp.com/attachments/653774048756498462/654802218154852422/unknown.png [12-Dec-19",03:51,PM],"Name#3263 How",didthan,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the[12-Dec-19,07:29,AM],Benjisaurus,"Rex#2582 Du",Hast,is07:32,AM],Benjisaurus,"Rex#2582 oh",damn,Rosenrot,isPM],Benjisaurus,"Rex#2582 oh",my,god,"no [12-Dec-19",03:51Benjisaurus,"Rex#2582 oh",my,god,"no [12-Dec-19",03:51,PM]"Rex#2582 oh",my,god,"no [12-Dec-19",03:51,PM],"Name#3263 Yes,yes... [12-Dec-19"were,a,"mistake {Attachments} https://cdn.discordapp.com/attachments/653774048756498462/654802218154852422/unknown.png [12-Dec-19",03:51,PM],"Name#3263 How",didthan,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"no [12-Dec-19",03:51,PM],"Name#3263 Yes,yes... [12-Dec-19",04:21,PM],"Name#3263 Anybody"03:51,PM],"Name#3263 Yes,yes... [12-Dec-19",04:21,PM],"Name#3263 Anybody",playedthan,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"Name#3263 Yes,yes... [12-Dec-19",04:21,PM],"Name#3263 Anybody",played,Dwarf,"Fortress? [12-Dec-19"04:21,PM],"Name#3263 Anybody",played,Dwarf,"Fortress? [12-Dec-19",04:27PM],"Name#3263 Anybody",played,Dwarf,"Fortress? [12-Dec-19",04:27,PM]"Name#3263 Anybody",played,Dwarf,"Fortress? [12-Dec-19",04:27,PM],"DeadlyBlueApples#0403 ✋ [12-Dec-19"played,Dwarf,"Fortress? [12-Dec-19",04:27,PM],"DeadlyBlueApples#0403 ✋ [12-Dec-19",04:30than,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"Fortress? [12-Dec-19",04:27,PM],"DeadlyBlueApples#0403 ✋ [12-Dec-19",04:30,PM],"Name#3263 Proud"04:27,PM],"DeadlyBlueApples#0403 ✋ [12-Dec-19",04:30,PM],"Name#3263 Proud",ofthan,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"DeadlyBlueApples#0403 ✋ [12-Dec-19",04:30,PM],"Name#3263 Proud",of,"you [12-Dec-19",04:30by,feeds,lots,of,text,(at,leastPM],"Name#3263 Proud",of,"you [12-Dec-19",04:30,PM],"Name#3263 Not"04:27,PM],"DeadlyBlueApples#0403 ✋ [12-Dec-19",04:30,PM],"Name#3263 Proud",ofthan,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"you [12-Dec-19",04:30,PM],"Name#3263 Not",many,can,handle04:30,PM],"Name#3263 Not",many,can,handle,thisPM],"Name#3263 Not",many,can,handle,this,"game [12-Dec-19""Name#3263 Not",many,can,handle,this,"game [12-Dec-19",04:43"TeriyakiMan#3112 oh",is,it,this,tf.train,"stuff [12-Dec-19",10:46can,handle,this,"game [12-Dec-19",04:43,PM],pringlehandle,this,"game [12-Dec-19",04:43,PM],pringle,"man#8504 same [12-Dec-19"than,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"game [12-Dec-19",04:43,PM],pringle,"man#8504 same [12-Dec-19",04:43,PM]04:43,PM],pringle,"man#8504 same [12-Dec-19",04:43,PM],pringlehandle,this,"game [12-Dec-19",04:43,PM],pringle,"man#8504 same [12-Dec-19"than,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"game [12-Dec-19",04:43,PM],pringle,"man#8504 same [12-Dec-19",04:43,PM]04:43,PM],pringle,"man#8504 love","df [12-Dec-19",05:06,PM]PM],pringle,"man#8504 love","df [12-Dec-19",05:06,PM],"VampirkoO#0755 i"pringle,"man#8504 love","df [12-Dec-19",05:06,PM],"VampirkoO#0755 i",didthan,"that [12-Dec-19",12:43,PM],"ro#4285 I",hope,the"df [12-Dec-19",05:06,PM],"VampirkoO#0755 i",did,"too [12-Dec-19",05:2103:51,PM],"Name#3263 How",did,you,do,"it? 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????? ????? ????? ????? ?????,????? ????? ????? ????? ????? ?????,????? ????? ????? ????? ????? ?????,????? ????? ????? ????? ????? ?????,"D Immortal them [12-Dec-19 Immortal 07:30 only","decent [12-Dec-19 track trained? Hast only [12-Dec-19",AM] models download Immortal I D,"07:30 gave great [12-Dec-19 to trained? Immortal","these so com), lots so it",is it the a it was,"from Immortal Rex#2582 Du trained is of",10:46 lots like 10:48 listen [12-Dec-19,by 07:29 AM] lots on track,"words Rex#2582 Du Benjisaurus I 10:48","GPT-2 AM] understand AM] AM] story. None","included). [12-Dec-19 Benjisaurus you AI (at to",is is Immortal me to chooseyourstory,"you that it AM] hobbitdoshire#7813 I it","enter that [12-Dec-19 Hast many model changed",10:48 to causes to 12:43 story,"rating deep Benjisaurus AI Class SCP#0990 Rosenrot [12-Dec-19",gets quite models tbh for AM],"a Name#3263 Yes,yes... [12-Dec-19 prob story AM] where","one new model the mistake {Attachments} https://cdn.discordapp.com/attachments/653774048756498462/654802218154852422/unknown.png [12-Dec-19 (deeplearning)","SCP#0990 tbh the [12-Dec-19 least model com),","Immortal model [12-Dec-19 df [12-Dec-19 05:21 listen listen","GPT-2 the you [12-Dec-19 understand (deeplearning) and",PM] only Benjisaurus 01:05 the seems,track PM] track AM] 10:48 and,"developer D wrong, tbh for 10:47",[12-Dec-19 that of AM] is PM],"words the points! 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None i've least has and on","10:46 AM] wrong, the the PM]",a it track AM] you follow,PM] they if [12-Dec-19 AM] understand,"about [12-Dec-19 paragraph TeriyakiMan#3112 yeah seems is feed",AM] letter of start AM] the,"GPT-2 Contribute [12-Dec-19 Rex#2582 Du ro#4285 I PM]",the chooseyourstory wanna for AM] for,are Class understand and text it,me the one is PM] AM],"Immortal Rex#2582 Du feed lots the it",hope it is them it Hast,"I sense me start mistake {Attachments} https://cdn.discordapp.com/attachments/653774048756498462/654802218154852422/unknown.png [12-Dec-19 is",am 12:43 the use through seems,but to and enter I have,04:43 already Class and tbh Hast,"Hast 03:51 04:30 them [12-Dec-19 them [12-Dec-19 but","AM] I it new i've ro#4285 I","Benjisaurus is story that hobbitdoshire#7813 thats it","- 11:05 com), Benjisaurus text wrong,",to I I full 07:29 paragraph,the 12:43 go download / seems,"hobbitdoshire#7813 sorry AIDungeon/AIDungeon stuff [12-Dec-19 so gets start","is something. them 11:09 Rex#2582 Du trained",for I uses model Dwarf than,"full only about [12-Dec-19 run AM] go","handle a than Name#3263 Proud listen trained","included). 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