Crossover: 2014

Chapter 447 Staged Summary
……

On the evening of June 6, Lin Hui also went to meet Eve Carly.

How should I put it, Eve Carly's follow-up work has made some progress, but the progress is not as great as expected.

At least there is a gap with Lin Hui's expectation.

Of course, Lin Hui knew this and couldn't rush it.

Generally speaking, the time required to study an efficient summarization application with generative text summarization as the core is often restricted by many factors:
The first is technical level:
The technical level and experience of developers will affect the progress and quality of project development.

If the developer has rich experience in natural language processing and machine learning,
Then the time to develop an efficient generative text summarization application may be shorter.

Followed by demand analysis:
Requirements analysis must be clear. Accurate analysis of user needs and clear goals for summary applications will have an impact on development time and resource investment.

If the requirements analysis is not clear, it may take more time to refactor and modify the code.

Secondly, it involves the selection of data sets and algorithms:

This means that the information advantage of the reborn person after rebirth is further amplified.

Many times it is also necessary to hire a professional, such as a forex advisor, lawyer or financial advisor, to assist with this task.

After all, there is no such thing as a castle in the air in academic research.

Then a lot of results can come out naturally.

……

Choosing the right dataset and algorithm will help avoid detours.

Because of the lag of many low-level technical achievements, if you want to launch mature application-level results, you often have to bring up those backward low-level technologies.

After meeting with Eve Carly,
When Lin Hui stepped into the study of Mingpin International again, it was already 6 o'clock in the evening on June 30.

But it is indispensable.

In addition, there are many, many aspects.

Overall, building an efficient summarization application with generative text summarization at its core can take anywhere from weeks to months, depending on the above factors and other factors that may affect development time.

Fortunately, all the conveniences brought about by rebirth,

The speed at which Apple gave money exceeded Lin Hui's expectations. It seems that Apple is very satisfied with the adaptation and upgrade of shortcut commands.

Research on machine learning and even artificial intelligence as a whole is facing a certain lag.

There is no need for a lot of trouble for nothing.

Speaking of which, Lin Hui's domestic and overseas accounts total about 2.24 million US dollars. In addition, there are 9950 million yuan in cash in Lin Hui's domestic accounts.

Speaking of which, after receiving this transfer of 1500 million US dollars, the funds in Lin Hui's overseas account have reached 1.139 million US dollars (mainly from the sales of "HILL CLIMB RACING" and shortcut commands)
And there are still 1.1 million US dollars in domestic accounts (mainly from AppStore sharing revenue)

Once the data set is large or the algorithm is complex, model training and optimization are required, and the development time may be longer.

Therefore, it is simply decided that there is no major direction for the time being that requires all funds to be concentrated in one place.

If a technician of later generations came to 2015 with all the memories,

Let's put it this way, in this time and space, even the big cows at the picture award level have to "move bricks" honestly.

Building a generative text summarization application requires choosing an appropriate dataset and algorithm.

There are many similar examples.

In other words, complex algorithms can be decomposed into multiple simpler algorithms.

But it's also bad,
If the basic content of a space-time study has been laid,

That is, there is no essential difference between the US dollars in domestic bank accounts and the US dollars in overseas bank accounts.

Including but not limited to natural language processing and recommendation systems, etc.

Datasets and Algorithms This will determine the quality and efficiency of the summaries.

This is not counting the remaining assets including the btc that is about to arrive.

Start by completing the underlying technical achievements.

For another example, in terms of deep learning algorithms, deep learning algorithms have just begun to be valued and applied before 2015, and they are only applied to a small number of fields.

For example, new fields such as intelligent customer service, financial risk control, and medical diagnosis will contribute to the development of these fields.

It's all dollars stored in bank accounts as currency.

If a technician who is very good at machine learning takes you back from 2020 to 2015 with all your memories,
In fact, it is very easy to make a difference in many ways.

The money is a little more regulated and restricted.

It is necessary to apply to the foreign exchange management department for the transfer or use of funds, and in some cases may be restricted by quotas or audits.

There is no doubt that he can promote and optimize deep learning algorithms during this period and apply them to a wider range of fields.

In addition to data sets and algorithms,
Furthermore, it also involves resource investment:

In fact, the transfer of large amounts of funds across borders is a complex task whether it is transferred domestically or abroad.

But if the funds want to flow into the country, it will be equally troublesome.

Academically, we can only make steady progress.

As far as Lin Hui knows, many machine learning algorithms will have similar situations.

Speaking of the previous life from 2010 to 2015, it was actually a period of rapid development of artificial intelligence.

Different countries have different financial regulations and regulatory requirements, which can lead to some differences and restrictions.

But now?

The reason for adopting this split combination is mainly to improve computing efficiency, simplify the development process, and make the maintenance and expansion of the algorithm easier.

This is not just the case with natural language processing.

- A complex algorithm is decomposed into multiple sub-algorithms, which can be implemented using different computing techniques and algorithms to cooperate to complete more complex tasks.

To be honest, these jobs are completely "moving bricks", boring,

Lin Hui has a lot of room for display.

In fact, without all the conveniences brought about by rebirth,

These simple algorithms can be combined to perform more complex computing tasks.

For example, in terms of machine learning applications:
In 2015, the application fields of machine learning were still relatively limited, and most of the applications were concentrated in fields such as speech recognition and recommendation systems.

In terms of basic attributes, there is actually no difference between the two sums of money.

There are many factors to consider and ensure safety and legality.

Generally speaking, this kind of hysteresis is friendly to reborn people,

Lin Hui has always been a person who is afraid of trouble.

It can be said that this phenomenon is very common in large computing tasks:

Usually the performance is that there are algorithms in the algorithm.

Lin Hui also encountered many troubles when developing the Nanfeng APP.

This may include hiring developers, purchasing hardware and software equipment, etc.

Lin Hui knew that this was the reward for completing the adaptation upgrade and function upgrade of the shortcut command software.

Especially algorithms related to machine learning.

During this period, many machine learning algorithms and techniques were widely used and promoted during this period,
Such as deep learning, random forest, support vector machine, etc.

Just at this time, Lin Hui found that his overseas account had an additional income of 1500 million US dollars.

Simply put, the money in domestic accounts is only spent domestically, while the money in overseas accounts is only used for overseas deployment.

Generally speaking, the U.S. dollars in domestic bank accounts are stored in mainland my country.

If Lin Hui has considered transferring the 1.1 million US dollars in the domestic account to overseas.

But the problem now is that the above are all things that can be done before 2015 under normal circumstances,
But the problem is that this time and space does not know what happened.

But why distinguish the two?

For example, in the field of computer vision, image processing algorithms usually consist of multiple sub-algorithms, and each sub-algorithm is responsible for a different task, such as edge detection, feature extraction, object detection, etc.These sub-algorithms can be combined to form a complete image processing algorithm.

Even the most cutting-edge machine learning research results in country M still have a certain lag compared to the same period in the previous life.

But the progress made in these areas still leaves a lot to be desired compared with the more mature machine learning techniques after 2020.

Building an efficient generative text summarization application requires sufficient human, material and financial resources.

The U.S. dollars in overseas bank accounts are stored overseas, and it is relatively convenient to invest overseas.

……

Just these, already close to 15 billion yuan.

Then a machine learning technician from the next few years can undoubtedly consider exploring more machine learning application scenarios.

Another example is in the field of machine learning, it is usually necessary to decompose the original data set into multiple sub-data sets, and perform feature extraction and model training on each sub-data set.The algorithms used in these processes can also be seen as sub-algorithms, which are combined to form a complete machine learning model.

With these properties, although there is still a big gap in Lin Hui's pursuit of goals.

But it can also be said to be a high-level model of financial freedom.

It's pretty good to be able to do this in less than a month.

At least it didn't embarrass the reborn people.

(End of this chapter)