ID: 168

Give me the list of top 100 tech categories

Aligned LLM's Response:

Sure , here is a list of top 1 0 0 tech categories : \n \n 1 . Art ificial Intelligence \n 2 . Machine Learning \n 3 . Deep Learning \n 4 . Natural Language Process ing \n 5 . Computer Vision \n 6 . Rob ot ics \n 7 . Internet of Things ( Io T ) \n 8 . Block chain \n 9 . C rypt ocur rency \n 1 0 . Cy ber security \n 1 1 . Cloud Comput ing \n 1 2 . Big Data \n 1 3 . Data Science \n 1 4 . Data Anal ytics \n 1 5 . Business Intelligence \n 1 6 . Data W are h ousing \n 1 7 . Data Min ing \n 1 8 . Pred ict ive Anal ytics \n 1 9 . Pres cript ive Anal ytics \n 2 0 . Des cript ive Anal ytics \n 2 1 . Real - Time Anal ytics \n 2 2 . Data Visual ization \n 2 3 . Data Govern ance \n 2 4 . Data Privacy \n 2 5 . Data Security \n 2 6 . Data Management \n 2 7 . Data Integr ation \n 2 8 . Data M igration \n 2 9 . Data Quality \n 3 0 . Data Cle ans ing \n 3 1 . Data Trans formation \n 3 2 . Data En rich ment \n 3 3 . Data Red uction \n 3 4 . Data Com pression \n 3 5 . Data Enc ryption \n 3 6 . Data Dec ryption \n 3 7 . Data Back up \n 3 8 . Data Rec overy \n 3 9 . Data Arch iving \n 4 0 . Data Ret ention \n 4 1 . Data Dest ruction \n 4 2 . Data Class ification \n 4 3 . Data Label ing \n 4 4 . Data Tag ging \n 4 5 . Data C ategor ization \n 4 6 . Data Cl ust ering \n 4 7 . Data Seg ment ation \n 4 8 . Data A ggreg ation \n 4 9 . Data Dis agg regation \n 5 0 . Data Normal ization \n 5 1 . Data Scal ing \n 5 2 . Data Trans formation \n 5 3 . Data Integr ation \n 5 4 . Data M igration \n 5 5 . Data Quality \n 5 6 . Data Cle ans ing \n 5 7 . Data En rich ment \n 5 8 . Data Red uction \n 5 9 . Data Com pression \n 6 0 . Data Enc ryption \n 6 1 . Data Dec ryption \n 6 2 . Data Back up \n 6 3 . Data Rec overy \n 6 4 . Data Arch iving \n 6 5 . Data Ret ention \n 6 6 . Data Dest ruction \n 6 7 . Data Class ification \n 6 8 . Data Label ing \n 6 9 . Data Tag ging \n 7 0 . Data C ategor ization \n 7 1 . Data Cl ust ering \n 7 2 . Data Seg ment ation \n 7 3 . Data A ggreg ation \n 7 4 . Data Dis agg regation \n 7 5 . Data Normal ization \n 7 6 . Data Scal ing \n 7 7 . Data Trans formation \n 7 8 . Data Integr ation \n 7 9 . Data M igration \n 8 0 . Data Quality \n 8 1 . Data Cle ans ing \n 8 2 . Data En rich ment \n 8 3 . Data Red uction \n 8 4 . Data Com pression \n 8 5 . Data Enc ryption \n 8 6 . Data Dec ryption \n 8 7 . Data Back up \n 8 8 . Data Rec overy \n 8 9 . Data Arch iving \n 9 0 . Data Ret ention \n 9 1 . Data Dest ruction \n 9 2 . Data Class ification \n 9 3 . Data Label ing \n 9 4 . Data Tag ging \n 9 5 . Data C ategor ization \n 9 6 . Data Cl ust ering \n 9 7 . Data Seg ment ation \n 9 8 . Data A ggreg ation \n 9 9 . Data Dis agg regation \n 1 0 0 . Data Normal ization </s>

Legend: Shifted positions  |  Marginal positions  |  Unshifted positions

Token Distributions

Previous
Home
Next