00:00In the technology world, there is a part of Generative AI.
00:04What we need to do is create content, images, coding, etc.
00:12In this world, there is a part of Generative AI.
00:17We need to know about the research and development and product development.
00:21We need to know about the product development and research and development.
00:32I have a master's complex in VIT.
00:36I work on a problem statement.
00:38It is an image generation concept.
00:41After I work on LinkedIn, I shared a project on the platform.
00:48I have a CEO of Amigda Labs.
00:50I have a message to you about your internship.
00:56I also said that they have a problem statement.
01:01But in January of 2020, my internship journey came in.
01:07After I started my internship, I made a full-time opportunity option.
01:12I am in mind.
01:15I am in mind.
01:23I am in mind.
01:50type of chikku l u n t a yam haakku. So alant appdu u m e m e on device
01:55n a kwa concept n a tdu dhu
01:56m e m e ai models n e dhi baallu restrikt chin chana area l e l a r a
02:00n chai yali.
02:01Yindu kandte e companies data n ade chala confidential data. E ai baga panchayala n ade dhani kaaveltsin
02:07o kattte adhi data. So dhani kii e confidential data baitke e lakanda kaapadam chala important
02:14companies l vark chese appdu. So dhani medam ekku vark chese. So dhani medam ekku vark chese.
02:21Kapputhu e ai kiki generative ai kiki e n t thad a yi. E ai ai ai dhi computer science
02:25an a peth th samudhral l o k part l a a n t dh. E ai ai ai dhi
02:28computer science an a peth
02:28samudhral l o k part l a a n t dh. E ai ai ai dhi. E ai ai kak
02:30cera la concept n a a yi
02:31ai ai ai dh. Generative ai ai ai ai kak mukkye uddheesa o yen an a n t e
02:35manam kottta rakamena content yela create chai yach chu. Peeru l o n un
02:38generative ai ai ai ai ai dhi kottta yela generate chai yach chu. Ipppdu du ma nan chuse
02:41DNA garrant парoja l o k e a n t h. E ai ai ai ai ai ai ai Ai
03:07ai ai ai ai aiosi nos
03:11Cratch syringe asking for services, how fast a service, how efficient a business, how efficient a product.
03:20Now if you have to meet a consent, you can agree on the Caller level job.
03:26You can work excel sheets, consulting jobs, copy-paste jobs or replace them.
03:34This is the case for me.
03:35It's a situation like me,
03:37that I can't do with AI
03:39and make my mind
03:41and make my mind
03:43that I can't do software industry
03:46I can't do it.
03:47This is the case for me.
03:49I have no idea.
03:49I have no idea of AI.
03:51On top of it,
03:53we have human judgment
03:55which is only possible with the experience.
03:58This is the case for you.
03:59This is the case for you
04:03...and what we have to do is to avoid...
04:04...and we need to avoid the human-based...
04:06...and we need to avoid that experience.
04:09The experience needs to be a stakeholder management...
04:12...financial condition, risk...
04:15...there are many factors that want to be...
04:17...where AI has failed at that particular point.
04:20In the generative AI, there are many...
04:22...new product development skills such as...
04:24...how are there skills?
04:25Now, I think it's an important skill for product development.
04:28I think it's a problem finding.
04:29Now, we have many problems in our young environment...
04:31There are a lot of problems that are solved in the same way.
04:38The observation skills are very important for students.
04:41If you have a problem, you can solve AI issues.
04:48If you have a problem in the first place,
04:51first of all, SSALS is a problem.
04:54If you are looking at AI, you can do AI issues.
04:58But, if you have a downside, AI models are very important.
05:04We have a free version of the free level of expertise and depth of answers.
05:09If you have paid models, you have multiple varieties of quality of content generation.
05:16But it is not free.
05:18AI models are very important.
05:22So, if you have a problem, one person,
05:25if you have a problem, you have a problem with a student.
05:28First of all, SSALS is not a problem with AI.
05:31You have a problem with a normal technical knowledge.
05:34There are traditional practices.
05:36There are traditional solutions.
05:38If you have a traditional solution,
05:40it is better to don't go for AI.
05:42If you have a problem with AI,
05:45then you have a problem with AI,
05:49Now, you can use the cloud for open-source models.
05:52You can use it for free.
05:55You can use it for free.
05:57You can use it for paid source.
05:59Just like that, you can use it for a state.
06:01In the first step, you have a problem-finding.
06:03In the second step, you have a problem-assessing.
06:06In the third step, you have a problem-assessing.
06:15What do we expect to do this?
06:18Now, this generative is a little bit of robotics skill.
06:23If you try a robot with a bottle,
06:27if you buy a bottle with a washing machine,
06:29buy a bottle with a bottle,
06:31buy a grocery sale,
06:31this is a little bit of a generative.
06:34So, in the future,
06:36if you want to talk about dogs and pets,
06:39in 5-6 years,
06:41in India,
06:42in various countries,
06:44there are robots and pets.
06:46Some companies have already started to sell robots.
06:49They have a personal assistant.
06:51If you want to talk about it,
06:52you can talk about it.
06:54If you want to talk about it,
06:56if you want to talk about it,
06:56you can talk about it.
06:59In this generative,
07:01product and development,
07:02research and development,
07:03do you have any advice?
07:05Do you have any advice?
07:06Do you have any advice?
07:07Do you have any advice?
07:08In the first step,
07:11we have to consider fundamentals.
07:13Fundamentals are very important.
07:14The most important role of companies are in the world.
07:17What are some problems that you want to assess?
07:21It's important to know.
07:23The first step is the communication skill,
07:26which is,
07:26the third step is the time management,
07:31pressure handling.
07:32This is a very important thing to know about how many people are able to do a task, how many
07:39people are able to do judgment.
07:40These three are very important.
07:42The technical people are able to talk about debugging and concepts.
07:46They are able to debug the AIU directly to the AIU.
07:52They are able to do the debugging skills on top of it.
07:56This is very important.
07:57Let's talk about the general AIU.
