00:00Artificial Intelligence is a word of the coin.
00:04There are 10 years of artificial intelligence.
00:08The second one is Siri, Alexa.
00:12This is a part of the artificial intelligence.
00:16There are all sorts of tools available in the world.
00:20There are all sorts of tools available in the world.
00:24This is a foundational AI.
00:26This is a foundational AI.
00:31This is a foundational AI.
00:34This is a foundational AI.
00:36This is a technical point of view.
00:39This is a big dataset called Train.
00:44This is a large language model.
00:47This is a large language model.
00:49This means that a large language model has huge data.
00:51This means that Google, Meta, Facebook, Instagram.
00:55And has to analyze big data.
00:59So quite a lot of patterns and data on our data.
01:05The kind of data that's going to be created,
01:07or you can remember LLM.
01:09The unused data available on feed Марcents.
01:13It is a practical reason.
01:15If you have a question about the data, you have 4 GPT and you have a question.
01:22So, we need to answer that.
01:25We need to say prompt engineering.
01:30Prompt engineering is a new branch,
01:35but we need to talk about deep conversation.
01:44So, if you have a prompt, you can see that.
01:51So, you can see that in politics, in the medical industry, in the tourism industry, in the industry automation, in the education industry, in the education industry.
02:10This is a big issue of power and power.
02:15When we have a mobile issue, we have a big issue of artificial intelligence.
02:23So, when we talk about this, we have to say that we have to say that the fields are in AI.
02:35In the chart GPT, we have to work with some of the things that we have to do in the future.
02:44But the most important thing is that when we work with the research,
02:50we have to work with analysis or predictions.
02:56The form of artificial generative AI.
03:02Generative means that the text will predict, which means that the text will be right.
03:07Recommendations will be given by the benefit of the law, which we will be given by the benefit of the law.
03:15Then, if we think about the research and research, how can we find out how can we find out how can we find out how can we find out how can we find out the data in 2017 and 2024.
03:27We have two data sets, made an excel file, and made some predictions.
03:34We have to make some predictions and general predictions.
03:39We have to think about deep thinking and we can find out how many people can get the results,
03:46how many people can get the results, and how many people can get the results.
03:50The results of this, I thought that the intuition is a good thing.
03:58How do you think about it?
04:00It's okay.
04:01It's okay.
04:02It's okay.
04:03It's okay.
04:04It's okay.
04:05It's okay.
04:06It's okay.
04:07It's okay.
04:08It's okay.
04:09It's okay.
04:10It's okay.
04:11It's okay.
04:13It's okay.
04:14It's okay.
04:16It's okay.
04:18The results of the AI is our extensive operation
04:23and those are the most important ones and the future
04:29We'll get to the it industry and work in the field.
04:35I'm going to talk about the code.
04:37If you want to talk about the code,
04:41then you will be able to create code in the GPT.
04:45And you will be able to develop the code.
04:48If you want to think about the travel industry,
04:52if you want to think about the benefits of the travel industry,
04:56I will be able to tell you that
04:58that you are in Kashmir,
05:01you will manage and design.
05:04The case is not the case.
05:05We are going to have a phone call, or we will be able to apply.
05:11We are going to have a travel agent.
05:16We are going to have a company that will be designed to create a tour.
05:23It is not a good design, but it is not a good design.
05:30It is not a good design, but it is not a good design.
05:36It is a good design that you have to do with your own biography,
05:40your own pocket, and your own A, B, C plan.
05:45So when we have a plan, we can give a simple prompt and we can give a prompt.
05:53So we can give a prompt and we can do everything.
05:57So we can manage the information and if we can do everything in this way,
06:03we can tell you how to do medical, travel, tourism, industries, education, politics.
06:12If you don't have artificial intelligence, you don't have to do it.
06:16If you don't have to understand it, you have to do it.
06:20There are two-three threats that you don't have to worry about unemployment.
06:25Because of unemployment, you don't have to worry about unemployment.
06:29Because of low-level jobs, you don't have to worry about low-thinking,
06:35you don't have to worry about it.
06:37But in this case, people will be able to sustain them.
06:43The problem is that in 2030,
06:46there are 90 million jobs per year,
06:48and there are 1 million jobs per year.
06:50So, in the process of creating,
06:52there will be a lot of development in the process.
06:54In this case, it started 2,017%.
06:57In this case, there are open-air,
07:00there are some things,
07:02and there are some 9 personalities.
07:05But in this case,
07:07the model is developed.
07:09The model is also developed in the market.
07:12The artificial intelligence,
07:13if you don't have to worry about it,
07:15then you don't have to worry about it.
07:17It's a big difference.
07:19It's a big difference.
07:20It's a big difference.
07:21It's a big difference.
07:23You don't have to worry about it.
07:25It's a big difference.
07:26It's a big difference.
07:27It's a big difference.
07:28From that perspective,
07:29it's a big difference.
07:30It's a big difference.
07:31We have to worry about it.
07:32But,
07:33here is the 3rd,
07:34the 1st,
07:35the 2nd,
07:36the 2nd,
07:37the 2nd,
07:38the 1st,
07:39the 2nd,
07:40the 3rd,
07:41the 3rd,
07:42the 1st,
07:43the 2nd,
07:44the 2nd,
07:45the 1st,
07:46They developed a business to create a child.
07:50They are making an approach to their own business.
07:56In the place of these haute, NVIDIA site,
08:01they have GPUs to get a train.
08:06NVIDIA has been published,
08:10so has to be a BRRR.
08:14But the fact that China has been working on a close economy for 2 years,
08:25and the first foundational AIS model launched in January 2025.
08:32So, when everyone is ready, everyone is ready to do a foundation model.
08:39But, in the US, there is also AI policy that has been launched in 2023.
08:47So, we have started a little bit of work.
08:50But, Prime Minister Narendra Modi and IT Minister Ashwini Vaishnam
08:55So, we have started a mission that we have found a foundation model in the US.
09:04So, we have made the government initiative.
09:08We have made the investment of 2,000 crore.
09:10We have made the investment of 18,000 GPUs.
09:14So, in the US, we have found the AI market in the US.
09:20So, this is the WOW point that it is true.
09:25The European government is able to keep the empire in the US.
09:29So, the United States government is able to keep the empire in the US.
09:31However, the medical care system allows us to keep the empire in the world.
09:32So, the government is able to keep the empire in our US.
09:34So, this is the rising혜othing.
09:36This is the FAMP group.
09:37The FAMP group, this is the US.
09:39Oh, the US, the US has agreed on the US.
09:41We have created the US.
09:43We have made it up.
09:45And the US without the US.
09:47The US.
09:48This is the US.
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