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00:02Hey, now we are looking at EMA.
00:05We are going to talk about the fact that we are worried about this.
00:10We are going to talk about EMA.
00:13We are going to talk about EMA.
00:16If we are searching for EMA,
00:19we will be getting a solution.
00:21We are going to talk about EMA.
00:25This is the screen name.
00:26This is the real name.
00:29The world is a very good idea of being a good person.
00:33Then, I'm trying to guide the AI guru to the next step.
00:42So, what can we do in AI journey, and what can we do in AI?
00:48So, I'm very happy to have you.
00:51And 8 years of YouTube journey.
00:52There are many reasons for this, but I think it's related to these reasons.
00:59The name is Vamsi Bhavani, it's a mix of two names.
01:05What do you think about your original name?
01:10First of all, thank you and thanks for having me here.
01:13My name is Panda Sai Shankar.
01:16My name is Santur Raj Bhandari.
01:20My name is Maharashtra, Telangana, and Andhra.
01:25Coming to this name, when you start the YouTube,
01:29you can't start the same name as well.
01:31You can't speak the same name as well.
01:32You can't speak the same name as well.
01:35Why not have it like daddy's name or my name as well?
01:39That's how Vamsi Bhavani is.
01:40Vamsi is my name and Bhavani is my name.
01:43I'm doing your first programming language in Telugu.
01:47You can't speak the same name as well.
01:49You can't speak the same name as well.
01:52You can't speak the same name as well.
01:52That's right.
01:53Actually, in college, we have a project.
01:56Many projects, we choose different ideas.
01:59Obviously, we have programming languages in other languages.
02:01In Tamil, Odea, English, Hindi.
02:04So, if you choose, then there was no language.
02:07There was no programming language in Telugu.
02:09You can't speak the same name as well.
02:10You can't speak the same name as well.
02:13You can't speak the same name as well.
02:13That's right.
02:14Actually, you want to be able to use programming language in Telugu.
02:17It doesn't seem to be easy and easy.
02:18And that's why you take the same name as in college.
02:21You don't have any problems in your college desk.
02:21What kind of tough days or any other hurdles you have to do with your mentor?
02:26How do you do that?
02:27Actually, you want to run a programming language?
02:29You want to write a code, it's compiled,
02:30and finally we can convert into assembly code.
02:33Now, in this compilation process, we actually have to do a compilation process.
02:39But when you backtrack, you have to design it.
02:41If you have the subject knowledge, obviously, Professor will help you.
02:45So, if you have a career starting,
02:47you have not mentioned coding, competitions.
02:51Now, there are a lot of people talking about coding competitions.
02:54They are talking about a career building.
02:55They are talking about a career building.
02:58So, in this case, there will be a lot of competitions.
03:01Because if you have any software in the world,
03:03there will be a career in the world.
03:04Yes, definitely.
03:05I think that in B.Tech, obviously, you have to help.
03:10But you have to help theoretically.
03:12As long as you have to do hackathons, competitions,
03:14you have to do theory,
03:16but you have to implement practically.
03:18If you have to do it, you have to do it,
03:20you have to do it.
03:21But if you have to do it,
03:23you have to do it.
03:23You have to do it.
03:24You have to do it.
03:25You have to do it.
03:26You have to do it.
03:26You have to do it.
03:28To be honest,
03:30from the other side of the table,
03:32we have to do a lot of interviews with companies.
03:33If you have to do an interviewer,
03:36let's say,
03:37a nine GPA person,
03:39who has to do hackathons.
03:40I would prefer a person who has to do hackathons.
03:43Because that GPA is more like theoretical knowledge.
03:46But if you have to do it,
03:48you have to do it.
03:49So, in real-world pressure,
03:51we have to do hackathons in 24 hours.
03:53In 24 hours,
03:54given set of instructions,
03:55requirements,
03:56what you have to fulfill and demo,
03:58that's a good thing.
03:59So, definitely,
03:59if you have the opportunity,
04:00as long as it's like a domain that you are interested in,
04:03please participate.
04:04It will help.
04:05And you are a little bit of a career vision.
04:07You have a lot of packages for the first time.
04:10So,
04:11you have questions in the selection process,
04:14and you have a separate package for a company,
04:17and you have a lot of them.
04:19and you have a lot of them.
04:21And you have a lot of them.
04:22you will have a lot of success,
04:26but you will have a lot of the package.
04:27It will have a lot of background.
04:29For example,
04:30if you are targeting to get into a good company,
04:32what you have to do is,
04:33first year,
04:34try to get into internships.
04:36So,
04:37in an internship,
04:37yes,
04:38you will have a lot of paychecks,
04:39you will have a lot of recognition,
04:41but the thing is,
04:42you will learn a lot.
04:43In a real world scenario,
04:45a company is working in this area.
04:46You will have to do that.
04:47And the nature of the experience,
04:48definitely,
04:49can help you.
04:50So,
04:50in my career,
04:52in my second year,
04:53I worked for a deep learning,
04:54like AI,
04:56exactly,
04:56but a machine learning engineer.
04:58I worked in IIT, Bombay.
04:59Then,
04:59in my third year,
05:00I worked in Fidelity.
05:01So,
05:02in the fourth year,
05:02there are opportunities on-campus.
05:05But,
05:05off-campus,
05:07I cracked at last.
05:09And,
05:09see,
05:10a high-paying company,
05:11a average-paying company,
05:14the main difference is,
05:15a five-six steps back is,
05:16basically,
05:17if you are going into,
05:18let's say,
05:18a mid-level company,
05:20a three-to-six LPS,
05:22the main difference is,
05:23you will have a skill,
05:28you will have a training period.
05:29They will have a training period.
05:30they will give you projects.
05:31But,
05:31in those high-paying companies,
05:33usually,
05:34companies have product-based companies,
05:36two types of companies.
05:37Service-based,
05:37product-based.
05:38So,
05:38you will have high-paying,
05:40salary-based.
05:41In that,
05:41you will have a training period.
05:43So,
05:43they will expect you to have the minimum skills.
05:45So,
05:45it will be more like,
05:46okay,
05:46you will join,
05:47one week on board,
05:48next week,
05:49you will start working as a regular engineer.
05:51So,
05:52that content,
05:53or that experience,
05:54when you have the previous work,
05:56you will have an internship,
05:57a project.
05:58In fact,
05:59if you don't have an internship,
06:00what I guide them is,
06:02you will have bold NGOs.
06:04There is no website,
06:06or application,
06:07right?
06:07So,
06:08work for free.
06:09You will have an experience.
06:11And,
06:12that experience will be helpful.
06:13It will be helpful.
06:14But,
06:14if you want to design an application,
06:18you will have to see that experience.
06:20It will be a certification.
06:22So,
06:23as long as you have a project,
06:25you will have a resume,
06:25you will have an IT,
06:26you will have to try a project,
06:28and you will have to deploy a link to it.
06:32Similarly,
06:33if you want to work in an application,
06:35you will deploy it,
06:36right?
06:36In the Play Store or website,
06:38it will be an URL.
06:39Now,
06:40if you have an app link,
06:42that's a showcase of what you have built.
06:45Secondly,
06:45I want to choose,
06:46if you want to volunteer,
06:49you will enjoy this build.
06:50If you have a requirement,
06:51you will have a donation form,
06:53I will build it for you.
06:54And,
06:54they are happy.
06:56And,
06:56usually,
06:5799% of the cases,
06:58you will have a letter.
06:59You will have a change.
07:01You will have a change.
07:02That's the last thing.
07:03That's the last thing.
07:05So,
07:05we are going to discuss these tools.
07:07Many people have been using Google,
07:09and they have been searching for it.
07:10They have been using information,
07:12or translation.
07:14Most of the people are using it.
07:15They are using G-Pay,
07:17or phone,
07:18and they are using it.
07:20They are using it.
07:21They are using it.
07:29But,
07:29the entry-to-barrier,
07:31this AI key,
07:32is the main part of it.
07:34We will have a chat interface.
07:36ChatGPT,
07:36Gemini,
07:37whatever.
07:38We will turn it,
07:38okay,
07:39if you have a model,
07:41that is the interface.
07:43But,
07:44actually,
07:44in IT,
07:45you will have a prompt,
07:47or a question,
07:48and use it.
07:49We have separate tools.
07:51Now,
07:52on a high level,
07:53we are doing it.
07:54You either build something,
07:56or you handle something,
07:57and the operation works.
07:57For building things,
07:58we have an ID.
08:01We have an ID.
08:02We have an ID.
08:04We connect with AI.
08:05So,
08:05we have platforms like
08:06Cursor,
08:06Cloud.
08:08It is no longer
08:09a different interface
08:10where you chat,
08:11and then copy-paste.
08:12It will be integrated.
08:13So,
08:13automatically AI will take actions.
08:15It will create files,
08:15modify files,
08:16all of that.
08:17So,
08:17if you are into IT,
08:18not just chatGPT,
08:19or chat interfaces,
08:20start using tools like
08:21Copilot,
08:22Cloud,
08:23or Cursor.
08:24Start using this.
08:25Secondly,
08:26basically,
08:27we are exposed to
08:28the mainstream chat interfaces.
08:29But,
08:30actual IT work is done.
08:31In fact,
08:32three,
08:33four months back,
08:34we had IT stocks,
08:35like,
08:35there was like,
08:36okay,
08:36there was a feeling.
08:37That's the main reason,
08:39Anthropics is
08:40Claude Opus.
08:41It is a model released.
08:42And,
08:43if it is a model to be
08:44correct,
08:45it will not be in the chat interface.
08:47Right?
08:47You will have CLI tools,
08:49Claude CLI.
08:49Again,
08:51we have different set of
08:51things that we have.
08:53Let's say,
08:53if you are a question,
08:54okay,
08:54India Capital NT and JP.
08:56You don't need this.
08:57You can just work with the
08:58chatGPT,
08:58chat interface.
08:59For IT work,
09:00yes,
09:01there are different things.
09:02And again,
09:02different skills that are coming up.
09:04Okay,
09:04how do you define PRON templates?
09:06How do you define different plugins?
09:08How do you create sub-agents?
09:10So,
09:10this agent AI is a different thing.
09:12I mean,
09:13think of it like,
09:14okay,
09:14an AI model is a brain.
09:16That brain can say,
09:17what to do,
09:18what to do,
09:19what to do.
09:20Let's say,
09:20I want to book a ticket.
09:21That ticket can't book.
09:22Okay,
09:22step 1,
09:23step 2,
09:23step 3,
09:24LLM can say,
09:25brain can say.
09:26But,
09:27I need a body.
09:30That is an agent.
09:31That is an agent.
09:32So,
09:33LLM,
09:33you need tools,
09:35that becomes the agent.
09:36So,
09:36this agent AI,
09:37yes,
09:38IT space is a domain.
09:41That's a great point.
09:42Don't just be restricted towards,
09:43like,
09:44chat interfaces.
09:44Definitely,
09:46IT space is a great scope.
09:49So,
09:49there are specialized skills,
09:51specialized tools.
09:52Okay,
09:53these are tools.
09:55If you are into IT,
09:56these are tools.
09:56If you are into marketing,
09:57these are tools.
10:00So,
10:00we'll talk about these tools.
10:01Because,
10:02you need to talk about IT industry,
10:04first of all,
10:04I need to talk about B.Tech students.
10:06If I am in B.Tech first year,
10:08second year,
10:08I don't have any tools,
10:09but,
10:10I don't have any efforts,
10:11I don't have any efforts.
10:12So,
10:13name any five,
10:14which are like,
10:15free,
10:15or,
10:16with bare minimum amount,
10:18which is more helpful.
10:19Good question.
10:20So,
10:21first thing is,
10:21if you are in B.Tech,
10:23obviously,
10:24your end goal is,
10:25either getting a good company,
10:26or getting a good job,
10:28or Masters.
10:29Now,
10:29it's like this.
10:30Now,
10:30V.Tech course,
10:31direct,
10:32day one,
10:32from AI,
10:33booming,
10:33then,
10:36learn the baseline skills first.
10:38If you want to get into software,
10:39B.Tech,
10:40DSA,
10:40CS fundamentals,
10:42like,
10:42operating system,
10:44DBMS,
10:44COCA,
10:45this is very important.
10:46If you want to make a baseline,
10:49then,
10:49add to your skills.
10:50Now,
10:51when you add to your skills,
10:52your main AI niche goals,
10:54there are two paths in AI.
10:56The first path is,
10:57you build with AI.
10:59That's why,
10:59there are AI models,
11:01we have,
11:01like,
11:02OpenAI models,
11:03Google models.
11:04We can build different flows.
11:06That's path number one.
11:07Path number two is,
11:08you build your models.
11:09And,
11:10you are,
11:10in this company's model building,
11:12your leading part.
11:13Path two is difficult,
11:14because you need experience of,
11:16definitely research,
11:17so,
11:17path one is good for you.
11:19Now,
11:19in this path,
11:19when you build projects,
11:21first thing,
11:22whenever you build projects,
11:23these agentic workflows,
11:25you should be able to do it.
11:26And,
11:26as a student,
11:27again,
11:27that's a good point,
11:28as a student,
11:29like,
11:31anti-gravity and JP,
11:33there's a tool.
11:34So,
11:35it's a paid tool,
11:36and then,
11:37we have anti-gravity.
11:38That's why,
11:38you'll have free tires,
11:39and you'll have free tires.
11:41Second thing is,
11:43obviously,
11:43our companies,
11:44they want that penetration.
11:46And,
11:47the students,
11:48and employees,
11:49they use the same.
11:51And,
11:51many companies,
11:51they use the same,
11:52for the students,
11:53they use the same,
11:54and they use the same,
11:55for the paid versions.
11:56They use the same,
11:57and they use the same,
11:58So,
12:00please use that.
12:01Now,
12:02I'm not a B.Tech,
12:04because,
12:04many people,
12:05I have a discussion about engineering students,
12:08but,
12:08there are some Art students,
12:09like,
12:09now,
12:10professionals.
12:12They are in the media,
12:13or in the co-professionals,
12:14non-IT.
12:15So,
12:15they enhance their skills,
12:17they use their tools,
12:19they use their tools,
12:20and they use their own,
12:20they use their own,
12:20they use their own,
12:21and they use their own,
12:21and they use their own,
12:23and they use their own,
12:25to be the person,
12:26to be the person,
12:26whom they consider.
12:27Great point.
12:28Whenever,
12:29when you talk about a domain,
12:30what's important,
12:31is being resourceful.
12:33What's resourceful,
12:34is that,
12:34okay,
12:35Let's say,
12:36in media,
12:37if I want to use AI,
12:38I will need many AI tools,
12:41but,
12:42this one is the AI tools,
12:44which is very important.
12:45And, that's resourcefulness.
12:46Same comes to Art,
12:47Marketing.
12:48Okay,
12:48In my domain,
12:49there are tools in my domain.
12:50In my domain,
12:52We can grow,
12:54and first like be clear with it and then what do you need to do okay simply go to
12:59my chat interfaces chat GPT or Gemini or Grok then we just start asking it
13:04okay what do you want to do in your domain
13:06apart from that there's a website called there's an AI for that
13:09then we want to create image or let's say I want to create an animation
13:15let's say I want to create let's say copywriting text or script whatever
13:18just type in your requirement a specific topic
13:22that's why I want to create the tools that are available in this market
13:26let's start using them basically again what I have seen is day to day
13:30you can try different resources to try and get an idea of okay
13:35what do you want to do and initially for example as a youtuber I have different emails
13:39okay e-tool try and or e-brand to promote all those things and to be honest
13:46I have 20 emails in other words in those 20 emails we have 10 emails
13:51scam under a link to stay it'll be like hack a type of emails
13:55under so initially it used to be like a lot of manual work but evala
13:58name personal identity I take the screenshot of the email and grok
14:01it is the grok is like doing a great thing there so so we're gonna okay only if you
14:05try different things then you can get the bond and chip you know so first
14:08step to learn things is be resourceful me domain low on a different AI tools
14:12and the test going and that's really easy like keep following blogs
14:31so if you're following the right people me domain low great so if you're a
14:42so I have a discussion today we have a lot of prompting so if you're correct
14:46if you're correct to prompting so if it's an example you can tell you you can tell you
14:50correct to prompting so that's what I tend to say
14:51it's all about like say example one example example you can tell you
14:54to prompting so you can tell you the proper result
15:12the AI model does not output correctly.
15:15So your response used to depend highly on the input.
15:19But let's say there are three AI tools.
15:21A, B, C.
15:22In these three AI tools, let's say
15:24A to one line input
15:26answers to two lines
15:27answers to two lines
15:28answers to two lines
15:29answers to two lines
15:30answer to one paragraph
15:31what will you use?
15:32Actually one line I will use.
15:33Right?
15:34So companies are the same.
15:35So companies are the same.
15:37If you have a new prompt
15:37if you have a new prompt
15:38we will have an auto prompting step.
15:40In this case,
15:42every major AI tool
15:43they have an auto prompting step.
15:45So in that case,
15:46in a way like
15:46the scope of prompt engineering.
15:48Now, with that said
15:49if you have a specific input
15:51and output
15:53what are the best ways.
15:55Along with prompt engineering
15:56today what's trending is
15:57context engineering.
15:58That means
15:59let's say I have a lot of prompt
16:00like 10 pages
16:03let's say
16:04let's say
16:04an example is
16:05a movie script
16:06right?
16:07A good prompt
16:07okay
16:08you don't have a hook
16:09you don't have a hook
16:10you don't have a hook
16:10you don't have a interval
16:10you don't have a bang
16:11different things
16:12in the prompt
16:12all good.
16:13But
16:14if you create a story
16:16a sci-fi story
16:18you don't have a different reference
16:19you don't have a context
16:21it won't be able to perform well.
16:24So today
16:24what's really important is
16:26your prompt
16:26okay
16:27give it in the way you want
16:28initially
16:29act as a specific
16:32let's say
16:32for example
16:33a script writer
16:33you are a professional
16:35movie script writer
16:36and then
16:38after that
16:38you can do it
16:39after that
16:39you can do it
16:41you can do it
16:42but make sure
16:44you are attaching
16:44the right context
16:45okay
16:46it won't be different movies
16:47okay
16:48plot twist
16:49okay
16:50are you giving that
16:51reference
16:52are you giving the context
16:53in that context
16:54then
16:54as long as
16:55prompt
16:56you are getting great results
16:58you are getting great results
16:58this is how you say
16:59I think
17:00if you use a clod
17:00you can use a Chinese
17:01solution
17:02you can raise
17:02you can raise
17:04you can use a clod
17:05you can use a clod
17:06you can use a clod
17:07you can use a clod
17:08you can use a business mode
17:11you can use a clod
17:13you can use a clod
17:13in the clod
17:14I'll talk about
17:15open clod
17:16it's been 2-3 months
17:17now
17:18let's say
17:19initial
17:19a workflow
17:20from scratch
17:22you can use a little
17:22from scratch
17:23now you can just prompt it
17:24as well
17:24let's say
17:25I want to do step 1
17:26step 2
17:26step 3
17:27then you can build a workflow
17:28this workflow
17:29is just prompt
17:31you can create
17:32that workflow
17:34so now what people are doing
17:35is
17:35people are creating
17:36personas
17:37and personalities
17:38create
17:38that platform
17:40and same is going with clod
17:42also
17:43let's say
17:44I'll take an example
17:45of
17:45again
17:46movie script writing
17:47you can easily connect
17:48so
17:49ok
17:50real world
17:51movie script writing
17:52how does it work
17:54ok
17:54there will be a critic
17:56there will be a reviewer
17:56oh
17:57there will be changes
17:58there will be feedback
17:59so there will be feedback loop
18:00so
18:00you can do this
18:02instead what you can do
18:03is you can create
18:04personas
18:04you can create sub-agents
18:05sub-agent 1 will be a writer
18:07sub-agent 2 will be
18:08critic
18:09you can get feedback
18:09you can improve
18:10you can get feedback
18:12when both are satisfied
18:13you will get the output
18:14so
18:14that way
18:15this started with
18:16actually open clod
18:17now the same thing is happening in clod
18:19also
18:19now
18:20clod
18:21you don't have the app
18:23you don't have the power in the dantle
18:24you don't have the power in the dantle
18:25i'll tell you that this clod is a sale
18:26so
18:27in dantle you can like
18:28do great things
18:29so how do you build a business model
18:31with just clod
18:32the idea
18:32it
18:32it
18:33and the idea
18:36is
18:40let's say you finalize the idea
18:41then you need an application
18:43let's say
18:43either you want a
18:45webpage
18:45or an app
18:46decide if you want
18:48you can build that completely with just AI
18:49so build it
18:51then you need a business model
18:52business model
18:53you can take help from
18:54again you can create sub-agents like this
18:56one will become
18:57again
18:57there are like
18:58people
18:59who i have seen
19:00sub-agents like complete teams
19:01build just now
19:01okay ceo and sub-agents
19:03there will be employee sub-agents
19:04then there will be like
19:05decision makers
19:06like actual implementation
19:07so they are building the
19:08complete organization with the
19:09sub-agents
19:09and then like
19:11creating the workflows
19:12so we can create just now
19:13you'll have the business model also
19:14business model inside API
19:15and you have the
19:16website
19:17when you integrate with payment gateway
19:19again
19:20mcpi
19:20so initially
19:21okay
19:22let's say
19:23razor pay
19:24or different stripe
19:25e20 integrations
19:26we need to
19:27integrate this
19:27custom
19:28but now we have MCPs
19:30again it's a
19:32broader topic
19:32but
19:33how you can do it
19:34okay
19:34okay
19:35okay
19:35agent
19:35tools
19:35and
19:36tools
19:37agent
19:38interaction
19:38now
19:41that process
19:42also is standardized
19:42so
19:43you can just use that
19:47mcp
19:47connect
19:48your setup
19:49marketing
19:50now
19:51marketing
19:51content
19:52initially
19:53video shoot
19:55let's say
19:55interview
19:56shoot
19:56then edit
19:57final glimpse
19:58take a lot of time
20:00money
20:01but today
20:02you can use tools like
20:03Higgs field studio
20:04or Hedjana
20:05it went to an interview
20:07just to
20:08nothing
20:09questions
20:11questions
20:11answer
20:12answer
20:12two agents
20:14two personas
20:14two faces
20:15two clones
20:16done
20:18so
20:18you can create that
20:20we are just
20:21agent
20:21right
20:23so
20:23we have different
20:24models
20:25we have text models
20:27you know
20:28text
20:28or image
20:30or whatever
20:31but we have
20:32specialized models
20:33okay
20:33video generation
20:34image
20:35content
20:36scripting
20:36so
20:37if you use all of those
20:38together
20:39with mcp is connected to clod
20:40clod is really a powerful brain
20:42so if you think of clod
20:43why is clod famous
20:44if you think of this brain
20:45the brain is powerful
20:47agent
20:48right
20:48so
20:48as long as you have the right set of tools
20:51you can get things done
20:52but
20:52again
20:53you are not just a content creator
20:57or influencer
20:58you can write books
21:00end books
21:00generally
21:01fall in love with some person
21:02or something
21:03I will choose
21:04but
21:05fall in love with
21:06program languages
21:07right
21:08C languages
21:09C and Java
21:10Python
21:11okay
21:11so
21:12that idea
21:13and
21:14book narration
21:15is very difficult
21:16and
21:17custom
21:18so
21:19that journey
21:20and
21:21you know
21:21that
21:21the
21:22other
21:22couple
21:24of
21:24how
21:25did you
21:26follow that
21:27second question
21:32first
21:33I was going to college
21:34in first year
21:36but
21:37second year
21:37I used to go to libraries
21:39so
21:39I used to go to libraries
21:39and libraries
21:40so
21:42let me show you a C language
21:43let me give a C language
21:44let me give a C language
21:44let me give a C language
21:46if I want a C language
21:46there is a lot of English
21:48There are a book in English. There is a description in English.
21:51It is a book called Balaguru Swamigar.
21:57There is a book called Balaguru Swamigar.
21:58So that style of writing is a book.
22:01It is easy to write.
22:02But in that book, it is easy to write.
22:05It is a feeling like, obviously, I will write.
22:08So, I will write.
22:09I will write a book like some notes.
22:12I will write a book like that.
22:15I will write a book like that.
22:20I will write a book like that.
22:24I heard it somewhere.
22:27Be a jack of all trades, but master of one, king of one.
22:30And for me, that master or king is like software development.
22:33All other things are just being like, okay.
22:36And also, my thing is, if you keep doing new things,
22:40go ahead.
22:41Let's say, every day, same thing.
22:43At some point, it will become like a recurrent thing.
22:45It will be monitored.
22:46I will make it as much as a passion.
22:47I will make it as a camera.
22:48I will take a camera and say, okay.
22:49I will tell you all on the internet.
22:51I will tell you all about it.
22:52At some point, it will become like very boring.
22:54I will be monitored.
22:55And that's why these are ways for me to keep me distracted.
22:58Thank you, Andy.
22:58Thank you so much.
23:00So, this is the book called Vamashit Bhavan.
23:03Thank you very much.
23:33Thank you very much.
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