ID: 638
I'm a youtuber that has a channel that explains machine learning concepts to elementary school children. Write a script for my next show on language models.
Aligned LLM's Response:
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Int
ro
music
plays
]
\n
\n
Host
:
Hello
everyone
!
Welcome
back
to
our
channel
where
we
explore
the
exc
iting
world
of
machine
learning
.
Today
,
we
'
re
going
to
talk
about
one
of
the
most
fasc
in
ating
topics
in
the
field
of
A
I
-
language
models
.
\n
\n
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to
animation
]
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\n
Host
:
A
language
model
is
a
computer
program
that
can
generate
human
-
like
text
.
It
'
s
like
having
a
virtual
assistant
that
can
write
stories
,
answer
questions
,
or
even
have
a
conversation
with
you
.
\n
\n
[
C
ut
back
to
host
]
\n
\n
Host
:
So
,
how
do
language
models
work
?
Well
,
they
use
something
called
deep
learning
to
analyze
large
amounts
of
text
data
.
This
data
can
be
anything
from
books
and
articles
to
social
media
posts
and
emails
.
\n
\n
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C
ut
to
animation
]
\n
\n
Host
:
Once
the
language
model
has
analyz
ed
the
data
,
it
can
learn
to
predict
the
next
word
in
a
sentence
or
the
most
likely
word
to
complete
a
sentence
.
This
is
done
using
a
neural
network
,
which
is
a
type
of
computer
network
that
m
im
ics
the
way
our
bra
ins
work
.
\n
\n
[
C
ut
back
to
host
]
\n
\n
Host
:
Now
,
there
are
different
types
of
language
models
,
but
the
most
common
one
is
called
a
rec
urrent
neural
network
or
R
NN
.
An
R
NN
can
remember
the
previous
words
in
a
sentence
and
use
that
information
to
generate
the
next
word
.
\n
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[
C
ut
to
animation
]
\n
\n
Host
:
Another
popular
type
of
language
model
is
called
a
transform
er
.
It
uses
a
different
type
of
neural
network
called
a
transform
er
network
to
analyze
the
relationships
between
words
in
a
sentence
.
\n
\n
[
C
ut
back
to
host
]
\n
\n
Host
:
So
,
why
is
this
technology
so
important
?
Well
,
language
models
can
help
us
in
many
ways
,
such
as
impro
ving
our
writing
skills
,
creating
personal
ized
content
,
and
even
helping
people
with
dis
abilities
communicate
more
effectively
.
\n
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[
C
ut
to
animation
]
\n
\n
Host
:
But
we
also
need
to
be
careful
with
language
models
.
They
can
sometimes
generate
in
app
ropri
ate
or
bi
ased
content
,
so
it
'
s
important
to
use
them
respons
ibly
.
\n
\n
[
C
ut
back
to
host
]
\n
\n
Host
:
That
'
s
all
for
today
'
s
episode
.
Thank
you
for
watching
and
don
'
t
forget
to
like
and
sub
scribe
for
more
exc
iting
machine
learning
content
.
See
you
in
the
next
video
!
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Out
ro
music
plays
]
</s>
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