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Recommend books to read

ChatGPT, with its advanced natural language processing capabilities, can be used to recommend books to read based on various criteria such as genre, author, and topic. It can generate personalized reading lists, suggest books based on a user's reading history, and provide summaries and reviews of recommended books. ChatGPT can also assist in discovering new and lesser-known authors and books, as well as providing insights into popular and trending titles.

Productivity

Prompts

Copy a prompt, replace placeholders with relevant text, and paste it at our chat
Prompt # 1
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"Could you provide a curated list of [NUMBER] literary works belonging to the [GENRE] domain for my perusal? I'm specifically interested in [ADJECTIVE] and [ADJECTIVE] narratives, leaning more towards the writing style or thematic elements embodied by [AUTHOR/CHARACTERISTICS]. Moreover, if possible, could you also include brief synopses and personal insights about these suggested books to aid my selection? Additionally, if these books are part of a series or have any associated reading order, kindly indicate that as well."

Prompt # 2
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"I'm interested in learning more about [TOPIC]. Could you suggest [NUMBER] books that provide an in-depth exploration of this subject? It would be great if they were written by [AUTHOR/CHARACTERISTICS]."

Prompt # 3
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"I have read [NUMBER] books by [AUTHOR] and really enjoyed them. Can you recommend similar authors or books that I may like?"

Prompt # 4
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"I'm looking for books on [TOPIC] that have been published within the last [NUMBER] years. Can you provide me with a list of recommended titles?"

Prompt # 5
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"I'm in the mood for a light-hearted read that will make me laugh. Can you suggest [NUMBER] books in the [GENRE] genre that fit this description?"

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Tips

Follow these guidelines to maximize your experience and unlock the full potential of your conversations with Mate Chat.
Experiment with different prompt formats: The format of the prompt can have a big impact on the quality of the generated text. Experimenting with different prompts can help you understand what works best for your specific use case.
Play around with the temperature and top-k hyperparameters: These hyperparameters control the level of randomness and diversity in the generated text. Experimenting with different values can help you find the sweet spot that works best for your specific use case.
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