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: Fit as much of the info below as you can into 60 words or less:

10. Lower your car costs
Refinancing your auto loan and taking advantage of lower interest rates could save you considerably over the life of your loan. Shopping around for car insurance regularly can also help you cut costs compared with simply letting your current policy auto-renew. You can cut ongoing car maintenance costs by driving less, removing heavy items from your trunk and avoiding unnecessary rapid acceleration.

11. Reduce your gas usage
You can't control prices at the pump, but you can do several things to cut your gas use and save money. Try using a gas app to pinch pennies when you do fill up.

12. Bundle cable and internet
You could lower your cable bill by as much as $40 per month by changing your cable package. And you could save more than $1,000 over two years by bundling your cable and internet service, depending on your carrier. Another option to consider is cutting cable or at least cutting some of your additional streaming services or premium subscriptions.

13. Switch your cell phone plan
Changing your plan is one way to save money on your cell phone bill, but it’s not the only way. Removing insurance from your plan could save you nearly $100 per year, per line. Signing up for autopay and paperless statements can save you an additional $5 to $10 per month, per line. We compared different cell phone plans to help you find the best match for you.

14. Reduce your electric bill
Big and small changes in your energy usage can help you save hundreds annually on your electric bill. Consider plugging any insulation leaks in your home, using smart power strips, swapping in more energy-efficient appliances and switching to a smart thermostat. Even incremental drops in your monthly electricity usage can add up to big savings over the long term.
Response: A few ways you can lower vehicle costs are by driving less and using a gas app to save on gas and looking for cheaper car insurance options. You can also lower costs by looking for a cheaper phone plan and by bundling what you need when it comes to the internet and your devices.

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.

Summarize the key points discussed in the following text on the history of summarization techniques:

Summarization techniques have been studied for many decades, with early work dating back to the 1950s. Initially, researchers explored surface-level approaches based on simple heuristics like sentence position and keyword frequency. In the 1990s, there was increased focus on more sophisticated symbolic techniques that attempted to model the meaning and structure of texts. However, these methods often relied on complex manual encodings of world knowledge. The rise of machine learning in the 2000s led to the development of data-driven approaches that could automatically learn summarization models from examples. Recent advances in deep learning have enabled the creation of powerful neural network-based summarizers that can capture long-range dependencies and generate high-quality abstractive summaries. While extractive methods still dominate for many applications, there is growing interest in abstractive summarization to produce more concise and coherent outputs.
user
The summarization techniques have evolved significantly over time. Early work focused on simple heuristics, followed by symbolic approaches that modeled meaning and structure. Machine learning enabled data-driven methods, while recent advances in deep learning have led to powerful neural network-based summarizers capable of generating high-quality abstractive summaries. Although extractive methods are still widely used, there is growing interest in abstractive summarization for more concise and coherent outputs.
assistant