Summarize the following text:

Summarization is a crucial skill in today's information-rich world, where we are constantly bombarded with large amounts of text from various sources, such as news articles, academic papers, reports, and social media posts. Effective summarization can help us quickly grasp the essence of lengthy texts, save time, and make informed decisions.

However, summarization is not a simple process of condensing text by removing words or sentences. It requires a deep understanding of the content, the ability to identify the main ideas and key supporting details, and the capability to synthesize this information into a coherent and concise representation.

Summarization techniques can be broadly categorized into two types: extractive and abstractive. Extractive summarization involves selecting and concatenating the most important sentences or phrases from the original text to form the summary. This approach is commonly used in automatic text summarization systems and can produce summaries quickly, but they may lack coherence and context.

On the other hand, abstractive summarization involves generating entirely new sentences that capture the main ideas of the text, often using different words and phrasing. This approach requires a deeper understanding of the text, including its semantics and context, and can produce more coherent and fluent summaries. However, it is computationally more complex and challenging to implement.
Summarize the following text:

Summarization is a crucial skill in today's information-rich world, where we are constantly bombarded with large amounts of text from various sources, such as news articles, academic papers, reports, and social media posts. Effective summarization can help us quickly grasp the essence of lengthy texts, save time, and make informed decisions.

However, summarization is not a simple process of condensing text by removing words or sentences. It requires a deep understanding of the content, the ability to identify the main ideas and key supporting details, and the capability to synthesize this information into a coherent and concise representation.

Summarization techniques can be broadly categorized into two types: extractive and abstractive. Extractive summarization involves selecting and concatenating the most important sentences or phrases from the original text to form the summary. This approach is commonly used in automatic text summarization systems and can produce summaries quickly, but they may lack coherence and context.

On the other hand, abstractive summarization involves generating entirely new sentences that capture the main ideas of the text, often using different words and phrasing. This approach requires a deeper understanding of the text, including its semantics and context, and can produce more coherent and fluent summaries. However, it is computationally more complex and challenging to implement.
user
Summarization is a crucial skill to quickly grasp the essence of lengthy texts in an information-rich world. It requires deep understanding of content, identifying main ideas and key details, and synthesizing them into a coherent, concise representation. Summarization techniques are categorized as extractive (selecting important sentences/phrases from the original) and abstractive (generating new sentences capturing main ideas). Extractive methods are faster but may lack coherence, while abstractive methods produce more coherent summaries but are computationally complex.
assistant
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: Please summarize:

TLS, short for Transport Layer Security, and SSL, short for Secure Socket Layers, are both cryptographic protocols that encrypt data and authenticate a connection when moving data on the Internet.

For example, if you’re processing credit card payments on your website, TLS and SSL can help you securely process that data so that malicious actors can’t get their hands on it.

So what’s the difference between TLS vs SSL?

Well, TLS is actually just a more recent version of SSL. It fixes some security vulnerabilities in the earlier SSL protocols.

Before you learn more about the specifics, it’s important to understand the basic history of SSL and TLS.

SSL 2.0 was first released in February 1995 (SSL 1.0 was never publicly released because of security flaws). Although SSL 2.0 was publicly released, it also contained security flaws and was quickly replaced by SSL 3.0 in 1996.

Then, in 1999, the first version of TLS (1.0) was released as an upgrade to SSL 3.0. Since then, there have been three more TLS releases, with the most recent release being TLS 1.3 in August 2018.
Response: TLS (Transport Layer Security) and SSL (Secure Socket Layers) are both cryptographic protocols that authenticate a connection and encrypt data on the Internet. If you're ver processed credit card payments on a website, you've used either TLS or SSL to do so to secure the process from bad actors. What's the difference between them? TLS is simply a more recent version of SSL, which fixes some security vulnerabilities that were in previous SSL protocols.

The basic history of SSL and TLS is as follows: SSL 2.0 was released in February 1995 (SSL 1.0 never made it to the public) Although SSL 2.0 had a public release, it contained security flaws as well and was replaced by SSL 3.0 in 1996. In 1999, TLS 1.0 was released as an upgrade to SSL 3.0. Three more TLS releases have since come. TLS 1.3 was released in August 2018.

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.
