Summarize the following text: Machine learning is a subset of artificial intelligence that involves training algorithms to learn from data and make predictions or decisions without being explicitly programmed. Supervised learning algorithms use labeled data to learn patterns and make predictions, while unsupervised learning algorithms identify patterns and relationships in unlabeled data. Deep learning is a type of machine learning that uses neural networks with multiple layers to extract features and perform complex tasks like image recognition and natural language processing.
Summarize the following text: Machine learning is a subset of artificial intelligence that involves training algorithms to learn from data and make predictions or decisions without being explicitly programmed. Supervised learning algorithms use labeled data to learn patterns and make predictions, while unsupervised learning algorithms identify patterns and relationships in unlabeled data. Deep learning is a type of machine learning that uses neural networks with multiple layers to extract features and perform complex tasks like image recognition and natural language processing.
user
The given text explains machine learning, a branch of artificial intelligence where algorithms learn from data instead of explicit programming. It discusses supervised learning using labeled data, unsupervised learning identifying patterns in unlabeled data, and deep learning involving neural networks for complex tasks like image recognition and natural language processing. Machine learning enables systems to make predictions and decisions based on data patterns.
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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: What are the key points of this news article?


Apple once again posted an, until now, rare revenue decline in its latest fiscal quarter, but said its overall business improved from the December quarter and sales of its iPhones were solid.

The results reported Thursday were better than Wall Street’s muted expectations and Apple’s stock rose in after-hours trading.

The latest numbers come after the Cupertino, California, company in February posted its first quarterly revenue drop in nearly four years after pandemic-driven restrictions on its China factories curtailed sales of the latest iPhone during the holiday season.
Response: Apple announced a decline in revenue for its latest fiscal quarter. However, the results exceeded Wall Street's expectations.  Apple also had a quarterly revenue drop in February.

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.
