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A practical application of in-context learning involves providing a Large Language Model with several examples of text classified by sentiment directly in the prompt. For instance, a prompt might first provide examples like 'I had an amazing day at the park!' (Positive), 'The service at the restaurant was terrible.' (Negative), and 'I think it's going to rain today.' (Neutral). Based on these demonstrations, the model can then successfully classify a new text, such as 'This movie was a fantastic journey through imagination.', as 'Positive'.

Example of In-Context Learning for Sentiment Classification

Based on the case study provided, construct a complete, self-contained prompt that uses in-context learning to classify the new customer review. Your prompt should provide the model with enough information to reliably determine if the new review is 'Positive' or 'Negative'.

Prompt Design for Sentiment Classification

A developer is creating a system to classify customer reviews as 'Positive', 'Negative', or 'Neutral'. They have two options for the examples they will include in the instructions given to a large language model.

**Option A:**
Review: "I love this phone, it's the best!"
Sentiment: Positive
Review: "This is the worst product I have ever bought."
Sentiment: Negative

**Option B:**
Review: "The camera quality is outstanding and the battery lasts all day."
Sentiment: Positive
Review: "The screen is prone to scratches and the software is buggy."
Sentiment: Negative
Review: "The phone was delivered in the original packaging."
Sentiment: Neutral

Evaluate which set of examples (Option A or Option B) is more likely to lead to better performance for the classification task. Justify your evaluation by explaining the principles of providing effective demonstrations to a model.

Evaluating Prompt Demonstrations for Sentiment Analysis

A developer is building a system to sort customer feedback into 'Positive', 'Negative', or 'Neutral' categories. They provide the following complete text block to a large language model to classify the final review:

---
Classify the sentiment of the following review.

Review: "The battery life is amazing!"
Sentiment: Positive

Review: "The screen scratches too easily."
Sentiment: Negative

Review: "The product arrived on time."
Sentiment:
---

Analyze this approach and identify the most signifi

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Review: "The product arrived on time." Sentiment:

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