Intel Neural-Chat-7B Model Achieves Top Ranking on LLM Leaderboard

Re:Intel Neural-Chat-7B Model Achieves Top Ranking on LLM Le... by clwg on Sunday December 03, 2023 @10:27AM (#38507723)

I use them for classification, entity extraction and embeddings. I also use them as a really light UI for tasks where I don't need the capabilities of GPT3.5/4 which is overkill for the more traditional NLP tasks.

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Re:Intel Neural-Chat-7B Model Achieves Top Ranking on LLM Le... by Hugsun on Sunday December 03, 2023 @10:45AM (#38507895)

Interesting. Could you share some detailed examples? What sort of classification? What are examples of traditional NLP tasks?

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Re:Intel Neural-Chat-7B Model Achieves Top Ranking on LLM Le... by clwg on Sunday December 03, 2023 @01:10PM (#38509293)

I would say anything from text classification, entity extraction, sentiment analysis, transcription, etc would be traditional NLP task, even things such as NYSIIS/Soundex processing can be handled by LLM's fairly effectively.

Huggingface categorizes their various models by task https://huggingface.co/models so it is fairly straight forward to determine what models may fit your use case.

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