Qwen/Qwen2.5-3B
Text Generation • 3B • Updated • 374k • 173
Lucas Velazquez
Luxter77
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Why is the output of the following model so different?
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#6 opened 8 months ago
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rrrfy
upvoted an article 10 months ago
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SmolLM - blazingly fast and remarkably powerful
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reactedto Sentdex's post with 👍 over 1 year ago
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Working through the Reddit dataset, one thing that occurs to me is we pretty much always train LLMs to be a conversation between 2 parties like Bot/Human or Instruction/Response.
It seems far more common with internet data that we have multi-speaker/group discussions with a dynamic number of speakers. This also seems to be more realistic to the real world too and requires a bit more understanding to model.
Is there some research into this? I have some ideas of how I'd like to implement it, but I wonder if some work has already been done here?
It seems far more common with internet data that we have multi-speaker/group discussions with a dynamic number of speakers. This also seems to be more realistic to the real world too and requires a bit more understanding to model.
Is there some research into this? I have some ideas of how I'd like to implement it, but I wonder if some work has already been done here?
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