Crossover: 2014

Chapter 128 The Pursuing Chaser (Part [-])
Due to the time difference, when Lin Hui fell asleep, people on the other side of the earth were still busy at work.

California time is 16 hours behind BJ time, and it is just 21 am on the 8st.

There is also a natural language processing algorithm team busy at the NOTEXIST lab on the Stanford University (California) campus.

Seeing the busy researchers in the NOTEXIST research room, many computer-related students who have passed through Stanford University will unconsciously take their steps lightly.

While walking lightly, these people will also feel a little envious of the people in the research room.

Because they know that although these researchers are doing research in the laboratory of Stanford University.

But in fact, most of the members of the NOTEXIST research room do not belong to Stanford University, but to the famous Google/Google Research Institute.

The Google/Google Research Institute can be said to be the dream workplace for all Stanford computer-related students who are committed to employment.

Although the wages in this place can only be described as above average, the key point is cool.

How many world-changing technologies were born from Google Research Institute,
And which student has never dreamed of changing the world?
In short, most of the looks in the eyes of these passing students are envy and a trace of jealousy.

Dr. Eclair Kilkaga is a member of the NOTEXIST research laboratory. He doesn't think his current life is enviable.

With an annual salary of $325000, he has to live like an ant.

Although it was only eight o'clock in the morning, he and his partners had been busy almost all night.

Eclair Kilkaga hates the busyness!

But I have to be busy!
If their text processing algorithm development team does not keep up with the latest technology related to generative text summarization.

Then they are very likely to follow in the footsteps of the MIT Natural Language Processing Text Summarization Group:
—towards disintegration.

Although it is unlikely that they will be directly dismissed as part of Google / Google Research.

But it is very likely that he will be sent to Ah San's research institute.

I heard that the Google/Google Research Institute over there has just been established and is currently short of manpower.

Eclair Kilkaga didn't want to go to that dirty and chaotic land.

Thinking of the possible tragic ending, Eclair Kilkaga hated that guy named LIN HUI.

Such an algorithm genius, wouldn't he be able to achieve success in any algorithm?

Why do you have to use some generative text summarization algorithm to grab their jobs?
Eclair Kilkaga was complaining when he suddenly heard the shout of his fellow team member Harley Price:
"Hey, don't be dazed, Eclaire Kilkaga, what's the result of your test?"

Eclair Kilkaga: "Don't mention it, it's just terrible. The X1 algorithm we use is not as good as the algorithm Lin uses in the Nanfeng APP..."

The so-called X1 algorithm is a generative summary experimental algorithm developed by Eclair Kilkaga and his team inspired by the technical route disclosed in the patent applied by LIN HUI.

It is called an experimental algorithm because the algorithm is mainly used for testing.

As a test algorithm, the X1 algorithm is qualified.

Eclair Kilkaga and the others have made this algorithm a bit like a generative summary algorithm.

However, this algorithm can only be used as a test algorithm now.

It is still one step away from the real practical application, but even though it seems to be only one step.

This step is far away, but it can be said to be a world of difference.

Objectively speaking, the X1 algorithm is far behind the algorithm in the LIN HUI Nanfeng APP in terms of text summarization extraction speed and accuracy.

When it comes to accuracy, Eclair Kilkaga is depressed.

Even the standard for measuring accuracy is provided by LIN HUI, so what can we use to compete with others?
It's over before it even started.

And the most depressing thing is that they made this X1 algorithm, not to mention comparing it with the algorithm made by LIN HUI.

Even compared with the algorithms they worked on before, they are also beaten in various ways in terms of extraction speed and accuracy.

This situation inevitably made Eclair Kilkaga somewhat pessimistic.

Harley Price: "Talk about the numerical difference."

Eclair Kilkaga: "I have a feeling you don't want to know, the gap is desperate.

The result is printed out, you can take it and see for yourself..."

Harley Price took the report handed over by Eclair Kilkaga, read it for a while and frowned:

"I can understand the difference in recognition accuracy. After all, the algorithm made by LIN HUI must be the result of a long period of training.

But why did we make this X1 algorithm much slower in recognition speed than the algorithm in Nanfeng APP?
Normally, when two algorithms with the same theory are dealing with the same problem, shouldn't the time complexity of the algorithm be the same? "

Eclair Kilkaga: "Who knows? Maybe there's something wrong with the mechanism we're using..."

Harley Price: "How is it possible? Isn't the technical route explained by LIN HUI based on the Sequence-to-Sequence (Sequence-to-Sequence) deep neural network model? If there is a problem with his technical route, we can sue His patent is invalid?"

Eclair Kilkaga: "Don't be naive! He just said that the model is based on the Sequence-to-Sequence model, and he didn't say that he still uses an early version of this model in the algorithm."

Harley Price: "These goddamn strangers are so despicable..."

Eclair Kilkaga: "Don't complain, if we encountered the same problem, the means used may be more excessive. And the focus now is to improve the accuracy of algorithm processing, as for the speed, it doesn't really matter... The big deal is that we can run this algorithm on a distributed system."

In computer science, distributed computing is also translated as distributed computing.

A distributed system is a system formed by a group of computers that are connected to each other through a network to transmit messages and communicate and coordinate their behavior.

Harley Price knows that Google/Google has made great progress in distributed computing in recent years because of the Google/Google Brain project.

If this algorithm is placed on a distributed system, it can indeed make a breakthrough in execution speed.

Hearing the news, Harley Price was not at all happy.

Once they really choose to run the algorithm on a distributed system, it means that they lost directly.

You must know that the algorithm in the Nanfeng APP runs offline, and there is not even a server.

What is the difference between directly using the distributed algorithm and using h-bombs to kill chickens.

Moreover, the speed gap with the LIN HUI algorithm is still within the scope of Harley Price's understanding.

The gap between the accuracy and the LIN HUI algorithm is really so big that it makes people desperate. .

The accuracy of the X1 algorithm they made at Harley Price is not even as accurate as the summary accuracy of the algorithm used in the Yahoo News Digest that Nick that stupid pig made.

This made Harley Price very depressed.

……

After a while, Harley Price suddenly had a flash of inspiration and shouted to Eclair Kilkaga:
"Dear buddy, you said the problem might be the accuracy measure made by LIN HUI.

Applying that measure of accuracy, only LIN HUI's own algorithm would score high with that measure..."

Eclair Kilkaga: . . .

Eclair Kilkaga: "Perhaps your idea has your basis, but I suggest you go to sleep now... You may be a little dazed, what makes you think that a standard reviewed by a standards committee will be An unfair standard?"

Harley Price: "Because that LIN HUI is from country C, they can do anything. I remember that some mobile phone manufacturers in their country will develop a special test software in order to claim that their mobile phones are powerful. Only they can use that test software Only manufacturers who make mobile phones can get high scores.

From my point of view, the model that LIN HUI made to measure the standard degree is similar to such a test software..."

　Distributed computing, this involves a more interesting thing, you can use the knowledge of later generations to deceive people, and abduct Google's research results
　　
　
(End of this chapter)