Hello, everyone.
Welcome here.
This section you're going to learning about
generic to eat for programs.
So one by one, we are going to initiating a step by step process.
How it will be helping the general to eat for development.
Let's see. What is gender do?
Yeah, it's an artificial intelligence tool.
The next generation of artificial
intelligence is going to be calling like a generic.
Yeah.
Also shortcut It is. Yeah.
So generally do Artificial intelligence is an artificial intelligence
capabilities of generating text images.
Other data using generic do models.
The responses to the prompt what are prompts
prompt is nothing but how the user is going to be texting
and asking an a Google search or any other search media
what the query user is going to be asking to a mission.
It might be mobile and it might be computer system,
it might be any other media to asking a user human
or user to a particular mission. Yes.
How would the mission is going to be responding?
This is called like the question is raised and you may
be texting or typing something and hitting and it will be called ask prompt.
So this prompt, how more accurate
and how the question is going to be framed
according to this dignity do a
models are going to be responding and giving us an A
in terms of text images are any other data using to this day models
so generally do a model
lend the pattern and structure of their input training data.
So so-called, it's very important how you are going to be making a framing,
a sentence or a query.
This query is more important
to trying to generate to a model
and getting how old the model is.
Generate a new data that are similar to the characteristics.
So according to you are going to be asking like
a prompting to the generate to create.
And similarly you just ask questions to the next because then it will be
trained to run a like a according to how you are framing a question.
And it is it is going to be responding
so beautifully
if you train to properly the particular model
which you are comfortable and you are going to be using just
based on this,
it will be give you the next question or answer.
Let's see, for example,
if I ask a create a static the piece for product,
yes, I am asking for a product page
for a steel mill to create any effort, generate to a model.
It might be for example of chargeability are tab nine.
Yeah.
I would like a Google board, a copilot.
So many models are there nowadays in the market.
So anyone you may choose which you comfortable more
and you just ask a question.
So it is a based idea.
It is going to be generate in the next question.
You need not to require to ask the question.
Prepare a thesis
like a cascading stylesheet for this page.
Yes, beautifully.
This custom year model will understand and will generate
theses custom like a stylesheet code for this page.
How beautifully you are asking a previous question
and asking to the next question so constructively
the model will understand and produce the content.
I hope it will give you a more power
evaluation from traditional A to generate,
emphasizing it to advance to the capabilities, more advanced
capabilities, more data trainings are happening for generate do.
Yeah, so give it like a majorly key features of generate to get an app
to learning
the ability to learn and adapt it to like diverse.
The programing challenges.
Many of the challenges are adapting which is going to be
that what the customers and what the requirements of the developers.
Yes and many of the programing languages also it is going to be adapting
how so?
It's a simple and easy, like a database.
They'll maintain the back team, what they Khalida
what the prompts they're receiving and making more
productively more accurately, they are making the DCA model
creativity, enabling
programmers to explore innovative solutions,
problem solving, addressing complex issues through enhancing the problem
solving abilities, which is going to be working with that.
Yeah, Yes, more complex problems.
It makes it seem like a simplifying the things and giving more solutions.
If you take like a tab, yeah, it is going to be generating
a few of suggestions to you.
How do I empower the programs?
Accelerated development, streamlining the coding process
for increased efficiency, enhanced debugging.
This is a very important for programmers to identify
and resolving the errors within the greater accuracy,
which is not going to be like a recurring
the same problem repeatedly for like developers and programmers.
It's not good practice.
So adding this type of app named like a type of custom
UI tools to your reporting editor and ask a query to tab nine.
We already have a need is a refactoring the code, enhancing the errors
and rewriting the code from one language to another language.
So many beautiful functionalities are available within
code optimization.
The making improve raising your code
and application performance.
The code which code
is going to be execute and run with the utilizing the low resources
and are giving a good performance in a highly such.
Or do you need to as a programmer you need to.
Right.
So improving the quality and performance through IntelliSense additions
which is given by you are tool
gen in collaboration collaboration tools
like a facilitating teamwork among the programmers.
Good review assistance enhancing code reviews process with the intelligent
insights collect do problem solving leveraging the click
to intelligent of a programmer as team member
DNA use cases in programing
so automated code generation so simplifying the petty
to task through automated code creations.
One question if you ask like this training
the custom model like DOB nine.
Yes, this is a simply that is simply it will gently record for you
predictive
analysis, anticipating potential issues and suggestions.
Primitive solutions. Yes,
natural language processing, Interacting
with the programing interfaces using natural language
challenges and considerations.
So it implications addressing
ethical concerns associated with a in programing
verbal lines,
encouraging programmers to use them
as a tool
any anyone half like a developer or a programmer
if increased and like a learn something how quickly
making a good productivity of code which will really help
and making more productivity in less time
programmers to not to be replaced.
Yes, they have to be trained with the A you will get a more predictable
output from them.
Continuous learning emphasizing the need for programmers
to stay informed about git like again advancements.
Yes, as developers are programmers you know that.
Yes, it's a journey is a challenging for developers
and programmers I who are in the industry industry.
So every day the versions are latest updates are coming
and every update you have in the idea about
do your work area are functional area.
Yes. Which will make you greatly
you are going to be mastering in your skills and are playing you.
What skills will make a good product do you d
in less time
integration with existing tools,
compatibility and sharing stream less integration
with the popular programing environment like it is integrated development
environment such as like a pitcher
eclipse sublime decorator entirely for Java.
So these environments easily
you can integrate the custom GUI tools.
EPA availability.
Yes, accessing a functionality through standard APIs
various platforms are offering like a custom
standard enterprise for all different different plants.
They are offering for APIs to directly interact without stating
yes quickly, you can interact with this Custom
Tools Cross-platform support. Yes.
Supporting wide range of programing languages and flat forms as you understand
it. Then
whenever you are thinking about API application programing interface,
yes, most of the apps are going to be work in cross-platform
wide range of programing languages this custom is supporting,
which will make your productivity in less time,
generic and future of programing
beautifully help you greatly.
The political Shift.
Discussing the transforming impact of gender
on programing methodologies
as you understand what you learn like SDLC
lifecycle of the software, let's say visit
the what like the waterfall, how the phases are available.
Nowadays, these methodologies are completely changed
when the DevOps are coming to the picture in the software I.T
products development area.
Yes, on the lake, you know the methodology
then the client requirement raised.
Yes, it's a very short time.
It is going to be making a life.
The changes are playing in very quick.
How it is possible,
how beautifully like a beautifully
it is possible.
So like transforming
the requirement and the ideology
is going to be making it more like a productivity
is are going to be completely applying to the line
and which is the
like a December requirements are making into the product
and it is going to be into the life to the users,
the programmer, once
he understand the lifecycle of DNA, how it is functioning,
how the inputs it is taking, how it is going to be applying.
Yes, definitely.
You will become a master in less time.
Future Developments Exploring potential advancements in J like a gen
for programmers.
Yes. Future is definitely in front of you
to learn applying if you know the standards
and the basic fundamentals in programing and coding.
Yes, you have a great future by applying this custom models
conclusion for this
and graduate programs to embarrassment to available tool of professional growth.
Yes, all you have to be learn and apply tools
quickly for your programing development,
which will make you by writing of your core challenges.
Yes, Quickly.
It will be strong you
in terms of quick application development process step by step. Yes.
All you need not to take all the code
copy and paste from your work area.
So sometimes new modules and the new requirements,
new topics may arise in such a scenario.
Yes, this custom models will help you greatly to
you strongly in like in your team.
I hope this lecture you enjoyed more
will catch you in the next lecture.
Thank you.