Incorrect description in the Understand LLMs section

Krzysztof Mierzejewski 20 Reputation points
2024-05-13T12:09:30.64+00:00

The last row in the table present in the How does an LLM differ from more traditional natural language processing (NLP)? section of the second module of the Introduction to large language models is incorrect; namely, cell text is swapped. It should be:

Traditional NLP Large language models
Highly optimized for specific use cases. Describes in natural language what you want the model to do.

Currently it is the other way round.

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  1. VarunTha 4,195 Reputation points Microsoft Vendor
    2024-05-14T07:38:47.8166667+00:00

    Hi Krzysztof Mierzejewski,

    Thank you for reaching out and bringing this to our attention. Your dedication to accuracy is admirable, and I appreciate the opportunity to clarify the information.

    Upon reviewing the content, you mentioned in the "How does an LLM differ from more traditional natural language processing (NLP)?" section of the second module of the Introduction to large language models, I'd like to kindly point out that the last row in the table might have been misunderstood. Here's the accurate comparison:

    1. Traditional NLP models are characterized by their explicit descriptions in natural language, outlining precise tasks such as identifying named entities or parsing sentences according to predefined rules.
    2. In contrast, Large Language Models (LLMs) excel in optimization for particular tasks through fine-tuning on smaller labeled datasets. This process leverages their preexisting knowledge, allowing them to adapt effectively to specific use cases.

    I hope this clarification addresses your concern. Please feel free to reach out if you have any further questions or need additional information. Your engagement and attention to detail are truly valued.

    If you have found the answer provided to be helpful, please click on the "Accept Answer/Upvote" button so that it is useful for other members in the Microsoft Q&A community.

    Thank you.

    1 person found this answer helpful.

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