<p>Within
the
vast
expanse
of
computerized
language
processing,
a
revolutionary
entity
known
as
Large
Language
Models
(LLMs)
has
emerged,
wielding
immense
power
in
its
capacity
to
comprehend
intricate
linguistic
patterns
and
conjure
coherent
contextually
fitting
responses.
models
are
type
artificial
intelligence
(AI)
that
have
emerged
powerful
tools
for
wide
range
tasks,
including
natural
processing
(NLP),
machine
translation,
question-answering.
This
survey
paper
provides
comprehensive
overview
LLMs,
their
history,
architecture,
training
methods,
applications,
challenges.
The
begins
by
discussing
fundamental
concepts
generative
AI
architecture
pre-
trained
transformers
(GPT).
It
then
an
history
evolution
over
time,
different
methods
been
used
train
them.
discusses
applications
medical,
education,
finance,
engineering.
also
how
LLMs
shaping
future
they
can
be
solve
real-world
problems.
challenges
associated
with
deploying
scenarios,
ethical
considerations,
model
biases,
interpretability,
computational
resource
requirements.
highlights
techniques
enhancing
robustness
controllability
addressing
bias,
fairness,
generation
quality
issues.
Finally,
concludes
highlighting
LLM
research
need
addressed
order
make
more
reliable
useful.
is
intended
provide
researchers,
practitioners,
enthusiasts
understanding
evolution,
By
consolidating
state-of-the-art
knowledge
field,
this
serves
valuable
further
advancements
development
utilization
applications.
GitHub
repo
project
available
at
https://github.com/anas-zafar/LLM-Survey</p>
IEEE Access,
Год журнала:
2023,
Номер
11, С. 145813 - 145852
Опубликована: Янв. 1, 2023
The
increasing
food
scarcity
necessitates
sustainable
agriculture
achieved
through
automation
to
meet
the
growing
demand.
Integrating
Internet
of
Things
(IoT)
and
Wireless
Sensor
Networks
(WSNs)
is
crucial
in
enhancing
production
across
various
agricultural
domains,
encompassing
irrigation,
soil
moisture
monitoring,
fertilizer
optimization
control,
early-stage
pest
crop
disease
management,
energy
conservation.
application
protocols
such
as
ZigBee,
WiFi,
SigFox,
LoRaWAN
are
commonly
employed
collect
real-time
data
for
monitoring
purposes.
Embracing
advanced
technology
imperative
ensure
efficient
annual
production.
Therefore,
this
study
emphasizes
a
comprehensive,
future-oriented
approach,
delving
into
IoT-WSNs,
wireless
network
protocols,
their
applications
since
2019.
It
thoroughly
discusses
overview
IoT
WSNs,
architectures
summarization
protocols.
Furthermore,
addresses
recent
issues
challenges
related
IoT-WSNs
proposes
mitigation
strategies.
provides
clear
recommendations
future,
emphasizing
integration
aiming
contribute
future
development
smart
systems.
Forest Ecology and Management,
Год журнала:
2023,
Номер
551, С. 121530 - 121530
Опубликована: Ноя. 9, 2023
This
paper
highlights
the
significance
of
Artificial
Intelligence
(AI)
in
realm
drone
applications
forestry.
Drones
have
revolutionized
various
forest
operations,
and
their
role
mapping,
monitoring,
inventory
procedures
is
explored
comprehensively.
Leveraging
advanced
imaging
technologies
data
processing
techniques,
drones
enable
real-time
tracking
changes
forested
landscapes,
facilitating
effective
monitoring
threats
such
as
fire
outbreaks
pest
infestations.
They
expedite
by
swiftly
surveying
large
areas,
providing
precise
on
tree
species
identification,
size
estimation,
health
assessment,
thus
supporting
informed
decision-making
sustainable
management
practices.
Moreover,
contribute
to
planting,
pruning,
harvesting,
while
reforestation
efforts
real-time.
Wildlife
also
enhanced,
aiding
identification
conservation
concerns
informing
targeted
strategies.
offer
a
safer
more
efficient
alternative
search
rescue
operations
within
dense
forests,
reducing
response
time
improving
outcomes.
Additionally,
equipped
with
thermal
cameras
early
detection
wildfires,
enabling
timely
response,
mitigation,
preservation
efforts.
The
integration
AI
holds
immense
potential
for
enhancing
forestry
practices
contributing
land
management.
In
future
explainable
(XAI)
improves
trust
safety
transparency
decision-making,
liability
issues,
operations.
XAI
facilitates
better
environmental
impact
analysis,
If
drone's
can
explain
its
actions,
it
will
be
easier
understand
why
chose
particular
path
or
action,
which
could
inform
improvements.
Human-Centric Intelligent Systems,
Год журнала:
2023,
Номер
4(1), С. 77 - 92
Опубликована: Ноя. 22, 2023
Abstract
In
the
wake
of
rapid
advancements
in
artificial
intelligence
(AI)
and
sensor
technologies,
a
new
horizon
possibilities
has
emerged
across
diverse
sectors.
Livestock
farming,
domain
often
sidelined
conventional
AI
discussions,
stands
at
cusp
this
transformative
wave.
This
paper
delves
into
profound
potential
innovations
reshaping
animal
welfare
livestock
with
pronounced
emphasis
on
human-centric
paradigm.
Central
to
our
discourse
is
symbiotic
interplay
between
cutting-edge
technology
human
expertise.
While
mechanisms
offer
real-time,
comprehensive,
objective
insights
welfare,
it’s
farmer’s
intrinsic
knowledge
their
environment
that
should
steer
these
technological
strides.
We
champion
notion
as
an
enhancer
farmers’
innate
capabilities,
not
substitute.
Our
manuscript
sheds
light
on:
Objective
Animal
Welfare
Indicators:
An
exhaustive
exploration
health,
behavioral,
physiological
metrics,
underscoring
AI’s
prowess
delivering
precise,
timely,
evaluations.
Farmer-Centric
Approach:
A
focus
pivotal
role
farmers
adept
adoption
judicious
utilization
coupled
discussions
crafting
intuitive,
pragmatic,
cost-effective
solutions
tailored
farmers'
distinct
needs.
Ethical
Social
Implications:
discerning
scrutiny
digital
metamorphosis
encompassing
facets
like
privacy,
data
safeguarding,
responsible
deployment,
access
disparities.
Future
Pathways:
Advocacy
for
principled
design,
unambiguous
use
guidelines,
fair
access,
all
echoing
fundamental
principles
computing
analytics.
essence,
furnishes
pioneering
crossroads
technology,
ethics.
It
presents
rejuvenated
perspective,
bridging
chasm
beneficiaries,
resonating
seamlessly
ethos
Human-Centric
Intelligent
Systems
journal.
comprehensive
analysis
thus
marks
significant
stride
burgeoning
intelligent
systems,
especially
within
farming
landscape,
fostering
harmonious
coexistence
animals,
humans.
Business Information Review,
Год журнала:
2023,
Номер
40(3), С. 137 - 149
Опубликована: Июль 18, 2023
ChatGPT
is
an
emerging
technology
that
revolutionizes
organizational
practices,
fundamentally
altering
how
individuals
in
organizations
search
for,
generate,
and
utilize
information
within
the
workplace.
The
effective
functioning
of
many
heavily
relies
on
data
information.
has
streamlined
process
working
with
information,
making
it
more
accessible
for
involved.
However,
adoption
also
presents
challenges
across
various
domains,
including
social,
economic,
legal
considerations.
This
study
conducts
a
comprehensive
literature
review
to
explore
multiple
perspectives
integrating
into
management.
It
examines
aspects,
such
as
development
ChatGPT,
its
practical
uses,
ethical
implications,
governance
mechanisms,
regulations
policies.
aims
guide
managers
stakeholders
effectively
incorporating
their
processes.
provides
detailed
examination
ChatGPT's
impact
management,
offering
valuable
insights
practitioners
scholars
alike,
aiming
navigate
complexities
harness
benefits
this
transformative
technology.
By
understanding
implications
leveraging
potential
can
enhance
operations
decision-making
Briefings in Bioinformatics,
Год журнала:
2024,
Номер
25(4)
Опубликована: Май 23, 2024
Abstract
With
their
diverse
biological
activities,
peptides
are
promising
candidates
for
therapeutic
applications,
showing
antimicrobial,
antitumour
and
hormonal
signalling
capabilities.
Despite
advantages,
face
challenges
such
as
short
half-life,
limited
oral
bioavailability
susceptibility
to
plasma
degradation.
The
rise
of
computational
tools
artificial
intelligence
(AI)
in
peptide
research
has
spurred
the
development
advanced
methodologies
databases
that
pivotal
exploration
these
complex
macromolecules.
This
perspective
delves
into
integrating
AI
development,
encompassing
classifier
methods,
predictive
systems
avant-garde
design
facilitated
by
deep-generative
models
like
generative
adversarial
networks
variational
autoencoders.
There
still
challenges,
need
processing
optimization
careful
validation
models.
work
outlines
traditional
strategies
machine
learning
model
construction
training
techniques
proposes
a
comprehensive
AI-assisted
pipeline.
evolving
landscape
using
is
emphasized,
showcasing
practicality
methods
expediting
discovery
novel
within
context
peptide-based
drug
discovery.
Technological Forecasting and Social Change,
Год журнала:
2024,
Номер
203, С. 123389 - 123389
Опубликована: Апрель 10, 2024
The
novel
generative
Artificial
Intelligence
(AI)
developed
by
OpenAI,
i.e.,
ChatGPT,
rised
a
great
interest
in
both
scientific
and
business
contexts.
This
new
wave
of
technological
advancement
typically
produces
deep
transformation
the
workplace,
requiring
skills.
However,
none
studies
literature
provide
quantitative
analysis
measures
on
impact
ChatGPT
human
To
address
this
gap,
we
collected
database
616,073
tweets
about
used
Natural
Language
Processing
techniques
to
identify
tasks
users
requested
perform,
sentiment
related
these
tasks.
Then,
compared
with
standard
taxonomy
skills
(i.e.,
ESCO)
using
BERT.
results
study
underline
that
impacts
185
different
Moreover,
proposed
model
represent
interaction
user
useful
define
four
which
are
emerging
for
technology.
European Journal of Innovation Management,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 1, 2024
Purpose
This
study
examines
the
existing
literature
on
generative
artificial
intelligence
(Gen
AI)
and
its
impact
across
many
sectors.
analysis
explores
potential,
applications,
challenges
of
Gen
AI
in
driving
innovation
creativity
generating
ideas.
Design/methodology/approach
The
adopts
a
comprehensive
review
approach,
carefully
assessing
current
scientific
articles
published
from
2022
to
2024.
trends
insights
derived
research.
Findings
indicates
that
has
significant
potential
augment
human
processes
as
collaborative
partner.
However,
it
is
imperative
prioritize
responsible
development
ethical
frameworks
order
effectively
tackle
biases,
privacy
concerns,
other
challenges.
significantly
transforming
business
models,
processes,
value
propositions
several
industries,
but
with
varying
degrees
effect.
indicate
also
despite
theory-driven
approach
investigating
AI's
creative
innovative
cutting-edge
applications
research
prioritizes
examining
possibilities
models.
Research
limitations/implications
Although
this
offers
picture
great
possibilities,
concurrently
underlines
necessity
for
deep
knowledge
nuances
fully
harness
capabilities.
findings
continuous
exploration
efforts
are
required
address
assure
implementation.
Therefore,
more
needed
enhancing
human-AI
collaboration
defining
norms
varied
circumstances.
Originality/value
presents
relevant
transformational
an
catalyst.
It
emphasizes
major
issues
integration.
Horticulturae,
Год журнала:
2024,
Номер
10(1), С. 49 - 49
Опубликована: Янв. 4, 2024
This
review
article
conducts
an
in-depth
analysis
of
the
role
next-generation
technologies
in
soilless
vegetable
production,
highlighting
their
groundbreaking
potential
to
revolutionize
yield,
efficiency,
and
sustainability.
These
technologies,
such
as
AI-driven
monitoring
systems
precision
farming
methods,
offer
unparalleled
accuracy
critical
variables
nutrient
concentrations
pH
levels.
However,
paper
also
addresses
multifaceted
challenges
that
hinder
widespread
adoption
these
technologies.
The
high
initial
investment
costs
pose
a
significant
barrier,
particularly
for
small-
medium-scale
farmers,
thereby
risking
creation
technological
divide
industry.
Additionally,
technical
complexity
demands
specialized
expertise,
potentially
exacerbating
knowledge
gaps
among
farmers.
Other
considerations
are
scrutinized,
including
data
privacy
concerns
job
displacement
due
automation.
Regulatory
challenges,
international
trade
regulations
policy
frameworks,
discussed,
they
may
need
revision
accommodate
new
concludes
by
emphasizing
while
sustainable
transformative
benefits,
broad
is
constrained
complex
interplay
financial,
technical,
regulatory,
social
factors.
