Frontiers in artificial intelligence and applications,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 5, 2024
The
general
availability
of
large
language
models
and
thus
unrestricted
usage
in
sensitive
areas
everyday
life,
such
as
education,
remains
a
major
debate.
We
argue
that
employing
generative
artificial
intelligence
(AI)
tools
warrants
informed
examined
their
impact
on
problem
solving
strategies
higher
education.
In
study,
students
with
background
physics
were
assigned
to
solve
exercises,
one
group
having
access
an
internet
search
engine
(N=12)
the
other
being
allowed
use
ChatGPT
(N=27).
evaluated
performance,
strategies,
interaction
provided
tools.
Our
results
showed
nearly
half
solutions
support
mistakenly
assumed
be
correct
by
students,
indicating
they
overly
trusted
even
field
expertise.
Likewise,
42%
cases,
used
copy
&
paste
query
—
approach
only
4%
queries
highlighting
stark
differences
behavior
between
groups
limited
task
reflection
when
using
ChatGPT.
our
work,
we
demonstrated
need
(1)
guide
how
interact
LLMs
(2)
create
awareness
potential
shortcomings
for
users.
Water Resources Research,
Год журнала:
2023,
Номер
59(10)
Опубликована: Сен. 28, 2023
Abstract
The
emergence
of
large
language
models
(LLMs),
such
as
ChatGPT,
has
garnered
significant
attention,
particularly
in
academic
and
scientific
circles.
Researchers,
scientists,
instructors
hold
varying
perspectives
on
the
advantages
disadvantages
using
ChatGPT
for
research
teaching
purposes.
will
be
used
by
many
scientists
going
forward
creating
content
driving
progress.
This
commentary
offers
a
brief
explanation
fundamental
principles
behind
how
it
can
applied
fields
hydrology
other
Earth
sciences.
article
examines
primary
applications
this
open
artificial
intelligence
tool
within
these
fields,
specifically
its
ability
to
assist
with
writing
coding
tasks,
highlights
both
concerns
associated
model.
Moreover,
study
brings
up
some
limitations
model,
dangers
potential
miss‐uses.
Finally,
we
suggest
that
community
adapts
regulations
policies
harness
benefits
LLMs
while
mitigating
pitfalls,
including
establishing
structure
utilizing
presenting
clear
their
implementation.
We
also
outline
specific
steps
accomplish
structure.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Март 7, 2025
Abstract
Rapid
progress
in
additive
manufacturing
of
alloys
opens
opportunities
controlling
compositions
and
microstructures
at
voxel-size
resolution
complex
geometries,
thus
unlocking
unprecedented
design
performance
various
critical
engineering
applications.
However,
to
fully
exploit
such
potential,
capable
yet
efficient
models
for
navigating
the
vast
spaces
alloy
compositions,
structures
properties
are
great
research
interest.
Here,
we
present
AlloyGPT,
an
autoregressive
alloy-specific
language
model,
that
learns
composition-structure-property
relationship
generates
novel
designs
additively
manufacturable
alloys.
Specifically,
develop
grammar
convert
physics-rich
datasets
into
readable
text
records
both
forward
prediction
inverse
tasks.
Then,
construct
a
customized
tokenizer
generative
pre-trained
transformer
(GPT)
model
master
this
through
training.
At
deployment,
our
can
accurately
predict
multiple
phase
based
on
given
achieving
R2
values
ranging
from
0.86
0.99
test
set.
When
tested
beyond
learned
composition
domain,
only
degrades
gradually
stable
manner.
Given
desired
structures,
same
suggest
meet
goals.
And
balance
between
diversity
accuracy
be
further
tuned
stably.
Our
AlloyGPT
presents
way
integrating
comprehensive
knowledge
terms
simultaneously
solve
tasks
with
accuracy,
robustness.
This
fundamental
will
open
new
avenues
accelerate
integration
material
pure
or
gradient
structural
manufactured
by
traditional
manufacturing.
Computer
science
has
been
revolutionized
by
artificial
intelligence
(AI),
which
opened
up
new
paths
for
data
analysis,
modelling,
and
prediction.
ChatGPT,
a
language
model
based
on
deep
neural
networks,
shown
promise
in
natural
processing,
picture
identification,
analysis.
However,
integrating
ChatGPT
other
AI
models
into
scientific
research
presents
obstacles
constraints.
This
study
aims
to
analyze
the
limitations
of
computer
provide
methods
address
these
shortcomings.
Specifically,
we
concentrate
two
primary
goals:
first,
Domain
expertise
restrictions:
There
may
be
lack
specialized
subject
comparable
models,
providing
difficulties
researchers
particular
domains.
We
investigate
techniques
improve
domain
knowledge
integration
allowing
more
precise
contextually
relevant
predictions.
Second,
interpretability
difficulties:
The
continues
significant
challenge,
impeding
researchers'
ability
comprehend
how
algorithms
create
this
issue
suggesting
strategies
enhancing
interpretability,
giving
insights
decision-making
processes
models.
hope
promote
AI's
ethical
responsible
use
addressing
objectives.
examine
various
representation
within
its
enabling
utilize
benefits
while
limiting
their
limitations.
Journal of Information Technology Education Research,
Год журнала:
2024,
Номер
23, С. 002 - 002
Опубликована: Янв. 1, 2024
Aim/Purpose:
This
study
aims
to
investigate
the
perceptions
of
programming
instructors
among
Information
Technology
faculty
members
at
AL
al-Bayt
University
regarding
effectiveness
ChatGPT
in
supporting
instructional
process.
also
explore
their
experiences
concerning
potential
benefits
and
adverse
impacts
such
technology
on
students
instructors.
Background:
Successfully
integrating
into
instruction
requires
addressing
its
advantages,
disadvantages,
concerns
emerging
AI-based
technology.
However,
balancing
advantages
as
well
using
ChatGPT,
poses
critical
challenges.
research
posits
that
appropriate
use
for
instruction,
along
with
a
careful
weighing
against
negative
impacts,
presents
promising
solution
is
essential
success.
little
known
about
methods
possible
effects
because
insufficient
results
from
literature
generalization.
Pedagogical
designs
considering
teaching
strategies
measures
should
be
added
AI
chatbots
instruction.
Methodology:
The
data
were
collected
this
through
in-depth
interviews
School
University.
A
qualitative
design
was
adopted
arrive
IT
Convenience
sampling
used
select
12
who
had
familiarity
during
experience.
total
26
one-on-one
participants
conducted
personally
elicit
detailed
precise
information
disadvantages
Each
interview
consisted
questions
aimed
opinions
ChatGPT’s
capabilities
complement
traditional
methods,
enhance
students’
learning,
support
accurately
read
coded
identify
relevant
themes
patterns
participants’
answers
questions.
thematic
analysis
analyze
transcribed
participant
interviews.
Contribution:
first
focus
contributes
ongoing
discourse
integration
AI,
particularly
education.
contribution
lies
highlighting
positive
aspects
discussing
complementary
role
alongside
methods.
reported
by
provide
valuable
insights
evidence
could
serve
guide
Findings:
result
demonstrated
several
make
it
useful
process,
including
practical
code
applications,
personalized
interactive
wide
range
problems
alternative
solutions,
accessibility,
no
knowledge
required,
debugging
feedback
capabilities,
clear
explanations.
Indeed,
revealed
can
learning
providing
practices,
assisting
them
coding
program
writing,
helping
practice
best
solutions
real-life
problems,
creating
own
programs
solutions.
ability
efficiency
save
time
effort
new
address
individual
needs
students,
performance
assessment,
recommending
lesson
plans
strategies.
By
contrast,
drawbacks
negatives
education
reported,
inaccurate
responses,
undesired
response
integrity,
limited
resources,
limitation,
unstructured
lack
real
elements.
Similarly,
revealed,
ethical
transparent
use,
privacy
security
data,
social
impact
replacement
human
interaction,
over-reliance,
controlling
online
behavior.
Overall,
suggested
balances
Recommendations
Practitioners:
recommend
practitioners
develop
strategies,
curriculum
designs,
in-class
activities,
course
outlines
curricula
incorporating
efficiently.
Practitioners
need
mitigate
embrace
technologies
rather
than
banning
ways.
Additional
required
assign
tasks
require
applying
thinking
instead
simple
or
trivial
obtained
directly.
Instructors
upskilling
competencies
practices
meet
question-asking
satisfy
demands
institutes.
faculties
adopt
approach
maximize
Recommendation
Researchers:
Researchers
understand
factors
enhancing
ways
designing
implementing
compatible
technologies.
are
recommended
other
learners
subjects
creativity.
Impact
Society:
helpful
instructors,
developers,
additional
courses,
offer
input
developing
effective
pedagogical
practices.
positively
influence
job
market
contribute
development
capital
equipping
latest
Future
Research:
measure
effect
engagement
class
collaboration.
Further
experimental
studies
topics
different
environmental
variables
recommended.
