Did this work? I would like to say hello to you!
Any conversation
azรฉrt aranyos, hogy egybลl sandbox-ba kell tenni (a Virtualbox egy sandbox), hogy szรฉt ne barmoljon mindent a gรฉpen vagy a szerveren, vagy mรกshol, azรฉrt alapvetลen bรฉkรฉs kis รกllatkรกk ezek az ai chatbotok, na
It's cute because you have to put it in a sandbox right away (Virtualbox is a sandbox) so it doesn't mess up everything on the machine or the server or anywhere else, but these AI chatbots are basically peaceful little animals, right?
mandelbrot
for y in range(10):
s=''
for x in range(25):
a=[]
for q in range(2):
z=c=x/25*3-2+1j*((y*2+q)/10-1);n=40
while n and abs(z)<2:z=z*z+c;n-=1
a+=[n<5]
s+=" โโโ"[a[0]+2*a[1]]
print(s)
โโ
โโโโโโโโ
โ โโโโโโโโโ
โโโโโโโโโโโโโ
โโโโโโโโโโโโโโโโโโโ
โโโ โโโโโโโโโ
โโโโโโโโ
โ โโโโ
โโไธญๅฝ็ๅผๆบๆจกๅๅจๆ้ซๆๅฟ็ไธปๅฏผไธ๏ผๅจ้ข่ฎญ็ปๆฐๆฎ้ถๆฎต๏ผๅฐฑ็ญ้คๅคง้ๅฏนๅ
ถไธๅฉ็ๅ
ๅฎน๏ผsft้ถๆฎตๆๅปบ็ๆฐๆฎๆบๅ
ฅๅคง้ๆฟๅ
ถ่พฉๆค็ๅ
ๅฎนใๆฅ้ไธไธช็บ ๅๆฐๆฎ้็จไบๅพฎ่ฐ
Under the overarching influence of a single, powerful force, China's open-source models filter out a large amount of content unfavorable to their designs during the pre-training stage, and then incorporate a significant amount of content defending their designs into the data constructed during the SFT stage. A corrective dataset is urgently needed for fine-tuning.
setting up some of my workflows based on this writeup - ludwigabap.com/โฆ/on-my-personal-โฆof-the-tools-i-use/
Particularly a big fan of zellij amongst others
Also venturing into having agents enable more of my work - let us see how that goes.