If these people don't want to be academic tools, Lin Hui won't force them.

If these people are willing to work on algorithm implementation.

Lin Hui is also welcome.

As for the treatment, it's easy to say.

Don't tell me why Lin Hui doesn't use domestic talents.

Well, at this point in time, it cannot be said that there are no big names in related fields in China.

But either my current interests lie elsewhere.

Or they are supported by some big Internet companies like ancestors.

Lin Hui's current small temple may not be very attractive to these people.

From the perspective of labor cost, it is currently more cost-effective to apply talents in machine learning.

As for whether the current use of crooked nuts will affect the cultivation of domestic talents?

No, under the influence of the Internet trend of thought, the speed at which technicians learn new knowledge is often exaggerated than ordinary people expect.

When Lin Hui was officially engaged in artificial intelligence work in his previous life, it was almost two or three years after the third artificial intelligence boom began.

But it did not affect Lin Hui's ability to quickly understand most of the artificial intelligence algorithms and models developed by his predecessors.

At that time, Lin Hui was just an ordinary technician. Lin Hui felt that he could do this in his previous life. Even a latecomer to this space-time technician who was interested in this could quickly follow up. In short, Lin Hui didn't feel that he could do this for the time being.

Using overseas talents will affect the cultivation of domestic talents.

And at this time, there is another consideration for the technicians who use Waiguo.

You must know that machine learning requires the use of large amounts of data.

Despite what is said, the effectiveness of machine learning does not need to be at the expense of user privacy.

But many times they are just nice words.

It involves machine learning, whether it is design or training.

Whether it is text-based development, speech-based development or image-based development.

Corresponding programs are inseparable from large amounts of data.

If there is no data to feed, can we expect the corresponding model to "grow up" on its own?

And where does the data come from?

Can only be users.

Even though Lin Hui has a lot of data about his past life, those data are limited after all.

The best source of data acquisition is ultimately the user.

After all, users are producing data all the time.

And what data to use?

It stands to reason that our country has the largest base of Internet users, and our country is the least lacking in all kinds of data.

However, so far, Lin Hui has not had any substantive contact with the authorities.

In this case, Lin Hui can't just collect data rashly, right?

Although there are no clear legal provisions regarding personal data at this time.

But it is this ambiguity that Lin Hui fears.

Ambiguity means it’s easy to accidentally step into a trap.

Even though Lin Hui just wants to engage in technology, he does not want to use data to make big news.

But is technology really innocent?

This question may have different answers at different times.

But you must know that Wang Xin is still running overseas at this time.

It is unrealistic to say that technology is innocent.

In short, it is unlikely that Lin Hui will use domestic data before officially contacting the authorities.

This time and space was preceded by a wave of overseas opposition to facial recognition.

In some countries, such as the United States, there are clear regulations on the use of data at this time.

When overseas data meets certain conditions and is licensed, technology development can be carried out accordingly.

Despite this, Lin Hui still feels that it is better to use overseas data.

If Chinese technicians use Waiguo's data, they are likely to be slapped with a hat.

But there shouldn’t be any problem for Waiguo’s technical staff to use some of Waiguo’s data.

This is another reason why Lin Hui chose overseas personnel.

In short, whether IBM is preparing to get involved in text summarization or some members of Eve Carley's previous project team have the intention to defect to Lin Hui.

Lin Hui thinks these two pieces of news are very good.

Both of these things may help Lin Hui do what he wants to do in the future.

In particular, Lin Hui is looking forward to the fact that many technical personnel who are good at natural language processing and machine learning are ready to join the field.

Although Lin Hui has been living alone some time ago, Lin Hui still knows very well that no matter what he does, in the final analysis, the decisive factor is people.

People are the basis of everything created.

Even though Lin Hui has a lot of information about his past life, he has a huge information gap advantage compared to the current time and space.

But many times a person has many limitations when doing things.

To truly fully utilize the value of this information in previous lives and implement some of the things related to its application, countless talents are required to work hard for it.

To a certain extent, talent is the most valuable asset.

All in all, Lin Hui is very welcoming to the incoming technical staff.

But having said that, although Lin Hui is eagerly looking forward to these upcoming technicians.

But for this upcoming group of people, Lin Hui will eventually have to go through a certain amount of interviews.

Of course, the so-called "interview" is not for the purpose of elimination. Lin Hui believes in the strength of Eve Carly's previous team members.

Lin Hui just hopes to be more clear about what these people are better at?

Even if they are both technicians in the algorithm field, their expertise or preferences are different.

Lin Hui hopes to further understand the strengths of these people and then place them in places where they can more easily display their value.

In order to avoid some misunderstandings at that time.

Lin Hui did not shy away from Eve Carly about this idea, but informed her directly.

Eve Carly also expressed her understanding of this and was willing to convey Lin Hui's attitude on her behalf.

Even Eve Carly was very grateful to Lin Hui for being willing to accept her as a friend.

As for why Eve Carly was grateful, Lin Hui knew something about it.

No snowflake is innocent in an avalanche.

Similarly, when it comes to algorithms and even the broader computer field, such a view is often popular:

“There are no successful individuals in a project/team that crashes or fails.”

Many misleading training institutions will tell some laymen.

Many technicians involved in this area of ​​IT have learned how their salary can quickly exceed one million from barely more than 100,000 after a few projects.

The scene described by this statement does exist.

But in this case, the benefits are usually only available if the projects are successful one after another.

But what if projects fail to succeed one after another? What will happen if projects fail one after another?

Few training institutions will talk about what will happen if the project fails.

The real situation is that after a project is overturned, don't talk about marrying Bai Fumei with an annual salary of one million in the following days.

Let’s think about how to live our lives in the future.

There is always someone who takes the blame for the collapse of a project.

If you can't get rid of the blame, you often have to carry it all together.

It's okay to say that it involves some projects that are casually played.

If it rolls over, it will roll over.

It would be more tragic if some projects that were promising by the industry overturned.

A project that was obviously very good was ruined by you?
To be continued...