Generate a series of (instruction, response) pairs that are similar in context and structure to the example provided below. Each pair should consist of a concise instruction followed by an appropriate, detailed response. The instruction should pose a clear task or question, while the response should provide a comprehensive answer or solution that could be understood by someone with a basic understanding of the subject.

Example pair: 
Instruction: Given this section of the article, write me 1 paragraph summary.

Here is the article
In Christopher Nolan’s The Prestige, we follow the lives of two magicians Robert Angier and Alfred Borden played by Hugh Jackman and Christian Bale respectively.

We get introduced to them as two young men who want to make it big in the showbiz of magic until something goes terribly wrong which causes them to become dreadful rivals of each other.

This ruthless competition causes both of them to become obsessed with each other. What is the secret of the other? What is their trick? Can it be surpassed? Needless to say, this obsession doesn’t bode well for either of them.

The most common advice on competition is two-fold: “competition is for losers” and “compete with your past self.” Both sound great but aren’t always super helpful. Let me elaborate.

Your ultimate goal is to become a monopoly and get out of the rat race. That is what the first adage is all about. This essentially means: don’t play others’ games. Do things differently. Create your own game.

This is good advice but you don’t always have the luxury to create your own rules, especially when you are only trying to get promoted before your (rival) friend.

The second adage is about having a growth mindset. Competing with others can be stressful and in fact degrade our performance. We should instead measure ourselves against our past selves and see how far we have come. This will definitely give us a sense of accomplishment. Also, we should measure ourselves against our future ideal self. This will give us a sense of purpose.
Response: In the film 'The Prestige' by Christopher Nolan, the two antagonists in the story are magicians who become dreadful rivals. The competition between the two becomes so obsessive on their parts it takes over their lives. The article says that competition with others is unhealthy and can affect your performance negatively. Instead, it is better to compete with your past self. Although this is not always easy, it will give a better sense of purpose than comparing to others and playing their games.

Your task is to generate more pairs that maintain this level of clarity and detail. The topic is Summarization. Write a long text of instruction by yourself, then summarize the given instruction in a response. Ensure that the responses are informative and accurate, suitable for an educational context. 

Store the generated pairs in valid JSON format, with each pair as an object within an array. Each object should have two key-value pairs: "instruction" and "response". For instance: 

{"contents": [{"instruction": "text", "response": "text"}, {"instruction": "text", "response": "text"}, ...]} 

Remember to maintain consistency in the format and ensure the generated pairs are diverse and cover a broad range of subjects. You must return the response in the asked format and you must not add any additional text in your response.

Here's an excerpt from a computer science lecture. Summarize it in one paragraph: Machine learning is a subset of artificial intelligence that focuses on the development of algorithms that allow computers to learn and make predictions based on data. These algorithms build models from sample data, known as 'training data,' to make decisions without being explicitly programmed to perform the task. There are various types of machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Each type has its own methods and applications, suitable for different kinds of problems and datasets.
user
Machine learning, a key area of artificial intelligence, involves creating algorithms that enable computers to learn from data and make predictions. These algorithms use 'training data' to build models for making decisions without explicit programming. The main types of machine learning are supervised, unsupervised, and reinforcement learning, each tailored to specific problems and data types.
assistant