International Journal on Engineering Technology,
Journal Year:
2023,
Volume and Issue:
1(1), P. 204 - 222
Published: Dec. 21, 2023
The
advancements
in
technology,
particularly
the
development
of
high-performance
computing
(HPC)
and
large
language
models
(LLMs)
like
ChatGPT,
can
potentially
transform
field
Structural
Engineering.
Use
LLMs,
such
as
offers
several
opportunities
Engineering,
including
innovative
design
solutions,
use
code-based
structural
analysis
programs
by
automating
repetitive
coding
tasks,
conforming
to
building
code
requirements
compliance
checks,
storing
information.
critical
concerns
arise
LLM’s
regarding
biases,
misinformation,
safety,
reliability,
lack
domain
expertise.
This
paper
explores
risks
associated
with
using
ChatGPT
LLMs
focusing
on
efficiency,
accuracy,
reliability.
main
aim
study
is
examine
limitations
potential
relying
solely
machine-generated
information
provide
mitigation
strategies
overcome
them.
Careful
management
prevent
harmful
content,
collaboration
human
experts
for
accurate
results,
establishing
guidelines
standards
are
obligatory
measures
address
ethical
bias,
privacy,
abuse.
Continuous
monitoring
updating
essential
maintain
accuracy
relevance.
While
offer
significant
benefits
responsible
usage
combination
expertise
insights
vital
maximizing
their
while
mitigating
ensuring
safe
well
reliable
engineering
practices.
Abstract
In
the
middle
of
year
2022,
a
big
media
attention
was
created
by
introduction
new
version
AI
tool,
ChatGPT
chatbot.
Basically,
chatbot
is
computer
program
that
simulates
and
processes
human
conversation
(either
written
or
spoken),
allowing
humans
to
interact
with
digital
devices
as
if
they
were
communicating
real
person.
Even
though
launch
not
felt
common
public,
technical
circle
knew
about
its
inauguration,
space
flooded
shocked
reactions.
Anyone
can
open
type
in
word
phrase
something
he/she
wants
know,
then
going
spit
out
short
long
essay
summary
what
being
asked.
Suppose
student
asked
submit
report
an
on
particular
topic
for
class,
be
used
write
report.
This
paper
discuss
details
impact
Engineering
Education
other
tools.
Some
people
argue
are
bring
down
traditional
education
style
way
disseminating
subject
knowledge
may
introduced.
educators
think
teachers
lose
their
jobs.
Many
started
test
limits
released
software.
The
tool
able
produce
high-quality
texts
various
focuses
even
ability
respond
languages
(internally,
machine-translated
into
English
similar
"Google
Translate").
Another
strength
contextual
querying,
where
remembers
previous
queries
creates
results
based
earlier
conversation.
talk
pros
cons
using
tools
Education.
International Journal on Engineering Technology,
Journal Year:
2023,
Volume and Issue:
1(1), P. 204 - 222
Published: Dec. 21, 2023
The
advancements
in
technology,
particularly
the
development
of
high-performance
computing
(HPC)
and
large
language
models
(LLMs)
like
ChatGPT,
can
potentially
transform
field
Structural
Engineering.
Use
LLMs,
such
as
offers
several
opportunities
Engineering,
including
innovative
design
solutions,
use
code-based
structural
analysis
programs
by
automating
repetitive
coding
tasks,
conforming
to
building
code
requirements
compliance
checks,
storing
information.
critical
concerns
arise
LLM’s
regarding
biases,
misinformation,
safety,
reliability,
lack
domain
expertise.
This
paper
explores
risks
associated
with
using
ChatGPT
LLMs
focusing
on
efficiency,
accuracy,
reliability.
main
aim
study
is
examine
limitations
potential
relying
solely
machine-generated
information
provide
mitigation
strategies
overcome
them.
Careful
management
prevent
harmful
content,
collaboration
human
experts
for
accurate
results,
establishing
guidelines
standards
are
obligatory
measures
address
ethical
bias,
privacy,
abuse.
Continuous
monitoring
updating
essential
maintain
accuracy
relevance.
While
offer
significant
benefits
responsible
usage
combination
expertise
insights
vital
maximizing
their
while
mitigating
ensuring
safe
well
reliable
engineering
practices.
