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: Read the article below:

Middle-of-funnel content

At this next stage, your target audience is now aware of your business and the solution you provide, and they’re interested.

They trust you enough to make slightly bigger commitments, like signing up for a webinar and engaging with longer-form content; and they’re interested enough in your offering to read brand-specific material like case studies, testimonials, and newsletter emails.

Their goal is to learn more about the solution you provide—both in general and the one specifically offered by your business.

Your goal is to educate them on your offering and set your business apart from competitors—not just with your features and benefits but with your expertise and knowledge.

Next, write a summary of what it says about Middle-of-funnel content
Response: Middle-of-funnel content includes brand-specific content that educates interested audiences that are already considering an offer.

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.

Describe the key differences between extractive and abstractive summarization techniques, highlighting the strengths and limitations of each approach.
user
Extractive and abstractive summarization are two distinct approaches to summarizing text, with different strengths and limitations:

Extractive summarization:
- Strengths: Preserves the original wording and factual accuracy of the source text, as it selects and reproduces existing sentences or phrases. Relatively simple and computationally efficient.
- Limitations: May lack coherence and flow, as the selected sentences may be disjointed and out of context. Cannot condense or rephrase information, leading to potentially redundant or verbose summaries.

Abstractive summarization:
- Strengths: Can generate more concise, coherent, and readable summaries by rephrasing and restructuring the content. Able to capture the core ideas and meaning without being constrained by the original wording or structure.
- Limitations: Relies on complex deep learning models, which can be computationally expensive and require large training datasets. Susceptible to generating factually incorrect or inconsistent information, as the model may misinterpret or hallucinate content not present in the source text.

While extractive summaries prioritize accuracy and faithfulness to the original text, abstractive summaries aim for fluency, coherence, and condensation. Extractive methods are simpler but may produce disjointed or redundant summaries, while abstractive methods offer more flexibility but introduce the risk of factual errors or hallucinations. In practice, many modern summarization systems combine elements of both approaches to balance these trade-offs and achieve the best results.
assistant