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
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