Summarize the following text about summarization techniques into a concise paragraph:

Text summarization refers to the process of creating a concise and precise summary of a longer document or text while preserving its essential information and overall meaning. There are two main approaches to text summarization: extractive and abstractive. Extractive summarization selects and concatenates the most salient sentences or phrases from the original text to form the summary. In contrast, abstractive summarization generates new sentences by paraphrasing and condensing the key points, potentially incorporating external knowledge. Summarization techniques often employ natural language processing, machine learning algorithms, and linguistic analysis to identify relevant information, detect redundancy, and produce coherent summaries. The goal is to present the core content in a clear and condensed manner, catering to specific requirements such as length constraints or target audience needs.
Summarize the following text about summarization techniques into a concise paragraph:

Text summarization refers to the process of creating a concise and precise summary of a longer document or text while preserving its essential information and overall meaning. There are two main approaches to text summarization: extractive and abstractive. Extractive summarization selects and concatenates the most salient sentences or phrases from the original text to form the summary. In contrast, abstractive summarization generates new sentences by paraphrasing and condensing the key points, potentially incorporating external knowledge. Summarization techniques often employ natural language processing, machine learning algorithms, and linguistic analysis to identify relevant information, detect redundancy, and produce coherent summaries. The goal is to present the core content in a clear and condensed manner, catering to specific requirements such as length constraints or target audience needs.
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Text summarization involves creating a concise summary of a longer text, preserving essential information. Two main approaches are extractive, which selects and concatenates salient sentences, and abstractive, which generates new sentences by paraphrasing key points. It employs natural language processing, machine learning, and linguistic analysis to identify relevant information, reduce redundancy, and produce coherent summaries tailored to specific needs.
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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: Summarize this paragraph in a few sentences:
GLADSTONE INSTITUTE OF VIROLOGY AND IMMUNOLOGY
1991
Gladstone launches the Gladstone Institute of Virology and Immunology (GIVI) to address the rising HIV/AIDS crisis. Over the following years, GIVI helps define the life cycle of HIV, paving the way for many medications currently in use, and leads the groundbreaking iPrEx study, showing how a daily pill can prevent HIV infection in people likely to come in contact with the virus.
Response: In 1991, Gladstone Institute of Virology and Immunology is founded. It defines the life cycle of HIV and leads the iPrEx study, showing that a daily pill can prevent HIV.

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.
