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In June last year, GPT-3 released by OpenAI, it is composed of 175 billion parameters, and training cost tens of millions of dollars, it was the largest artificial intelligence language model ever produced. From answering the questions to writing articles and poems, and even writing slang language everything is covered.

The full name of GPT-3 is Generative Pretrained Transformer-3 (Generative Pretrained Transformer-3). This is the third series of generating pretraining converters, which is more than 100 times that of GPT-2 in 2019.

In GPT-3 there are 175 billion parameters, the second largest language model has 17 billion parameters. The OpenAI…


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In the era of the Internet economy, big data is an important tool. Today, big data has profoundly changed the face of global society and economy

Why Big data is important

Business analyst need to discover new profit opportunities that affect marketing and sales to reduce the cost of procurement, production, inventory, supply chain, distribution, marketing, sales, service and support functions to reduce the operation and Financial risks. Collect new insights about customers and product operations that can be used to gain a competitive advantage over competitors and earn more profits from the industry.

What big data really need to do is to analyze the…


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When the first cryptocurrency Bitcoin (BTC) was created by a person Satoshi Nakamoto, he predicted that cryptocurrencies will take over the financial system in the future. At first no one thought this might become a reality, but between 2020 and 2021, his prediction drawn a clear picture. When all the assets in the world have depreciated during the epidemic, even the “safe havens” such as gold and oil are depreciating, but only the Bitcoin is increasing.

The first generation (Bitcoin, Litecoin, Dogecoin)

The earliest cryptocurrency that invented the blockchain concept and many of the core functions we see in each cryptocurrency. The problem to be solved…


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In the era of big data, many drop-ship business owners have gradually realized that data can produce real value depends on whether the business owners recognize that data that has produced the true value for their own drop-shipping business.

Your ability to collect the data of your customers and react accordingly based on the data gathered is central to business intelligence. Customer data analysis is generally referred to as the ability to predict outcomes without being explicitly programmed.

Data Analytics generally refers to the future instead of explaining past events it explores for potential future events. Business data analytics is…


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After the rise of AI, many companies begun to capture people’s online behavior, and strive to label everyone with interest and temper, and gradually improve as people’s online behavior change. After labeling people, they also recognize people’s mindset. AI will give people accurate push, verify people’s interest in news, shopping information, fitness information and make AI predict the twist and turn of people interest.

Big data

Big data is very feasible to simulate the mindset of people, after connecting to the various nodes in network, the single system forms a giant cluster, which is uniformly used by big data and becomes a…


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Nowadays, the Internet of Things (IoT), social media, applications, and analysis devices continue to generate massive amounts of data of various types. And our business system needs to receive all kinds of big data every day and complete various processing tasks. Therefore, in the daily processing of these increasing data, the data system will face two challenges in terms of delay and accuracy.

What is Lambda architecture

In response to the above challenges, Nathan Marz and James Warren launched the Lambda architecture for the first time in 2015. It logically divides the data system into three levels

  1. Batch layer
  2. Speed layer and
  3. Serving layer


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Machine Learning

In the field of machine learning, the amount of data is undoubtedly the big concern. However, for machine learning application algorithms and detection modes, they need to receive data in a meaningful way. Therefore, machine learning can benefit from the data system built by the Lambda architecture and the various types of data processed. According to this, machine learning algorithms can ask various questions and gradually perform pattern recognition on the data input into the system.

IOT

If machine learning uses the output of the Lambda architecture, then the Internet of Things uses the input of the data system more. Imagine…


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Natural language processing (NLP) has become one of the most important fields in data science. Natural language processing (NLP) is the general term for natural language understanding (NLU), natural language generation (NLG), and natural language interaction (NLI).

Nowadays, natural language technology is increasingly used in enterprises. Many companies have developed numerous text analysis, speech recognition, chatbots, and all imaginable language processing use cases.

With the continuous development and innovation of technology companies such as Google and Microsoft, natural language processing (NLP) has achieved leaps and bounds in accuracy, speed, and methods, which can help computer scientists solve more complex problems…


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What is DCA

Dollar-cost averaging (DCA) refers to the purchase of a smaller number of assets within a specified time interval no matter how the price changes. Of course, most people will at least try to grasp the time to buy when the short-term market is down, but the problem is that this buying strategy can reduce the risk of investing too much money at once.

To use DCA, you first need to decide how much money you are willing to invest, and then you need to buy a smaller equivalent amount of money within a specific period of time instead of investing…


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Basic Idea

For the design of a new startup application, the most important thing is to clearly sort out the business model, analyze the business model, and make the system architecture based on the business characteristics to avoid many detours.

First, you have to determine the core functions required by each module of your business operations, the business modules guarantee the basic service capabilities, and then extract and encapsulate the basic functions required by each business module, split out business services and public services, and support business capabilities.

The system splits the major parts of business activities into data centers and big…

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