Ask HN: Most successful example using LLMs in daily work/life?

The article is a discussion on Hacker News about the most successful examples of using Language Learning Models (LLMs) in daily work or life. Some users find LLMs to be of limited use, with one user stating they don't trust LLMs to summarize articles due to potential bias and lack of nuance. However, they acknowledge that LLMs can be useful for generating unique ideas and summarizing large amounts of non-standard format documents.

On the other hand, several users find LLMs to be quite beneficial. Examples of successful use cases include text correction, streamlining messy paragraphs, shortening long texts, and converting notes to a specific format. LLMs are also used as coding copilots, saving keystrokes and detecting patterns. Non-native English speakers find them helpful for validating sentence clarity and correctness. Some have even used advanced models like GPT-4 for academic paper searches. However, the effectiveness of this varies depending on the subject.

Key takeaways:

LLMs are found to be useful in generating unique ideas and summarizing large volumes of non-standard format documents.
They can be used to streamline and correct text, making it easier to understand and more concise.
LLMs have been successfully used in creating customer service bots that can assist with coding.
They are also helpful in validating the clarity and correctness of sentences, especially for non-native English speakers.

Ask HN: Most successful example using LLMs in daily work/life?

Key takeaways:

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