this post was submitted on 23 Nov 2023
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LocalLLaMA

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Community to discuss about Llama, the family of large language models created by Meta AI.

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Hi.

Anyone got any experience with using (a set of) local LLMs for practicing a new language? (Spanish, not Python). Curious about experiences and knowledge gained.

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And, in the extension of that thought, what would be required 'scaffolding' around a set of LLMs to be able to:

  • assess a student's current proficiency
  • set up some kind of study guide
  • provide assignments (vocab training, writing prompts, reading comprehension, speaking exercises, listening exercises)
  • evaluate responses to assignments
  • give feedback on responses
  • keep track of progress over time and adjust assignments accordingly

I *assume* something like this would require multiple LLMs, in order to handle Text To Speech and Automatic Speech Recognition. Is whisper (for example) useful for evaluating (and give feedback on) pronunciation?

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[โ€“] tinykidtoo@alien.top 1 points 11 months ago

I am using the text-generation-webui by oobabooga https://github.com/oobabooga/text-generation-webui

One of the built-in plugins is the whisper_stt, you will need to enable it in the settings of the webui. https://github.com/oobabooga/text-generation-webui/tree/main/extensions/whisper_stt

I have been using the Elyza-japanese-llama-2-7B. Other models specific to your target language should work. https://huggingface.co/elyza/ELYZA-japanese-Llama-2-7b

Lastly, I created my own plugin, that is no longer maintained, unfortunately. Using a similar python script to the silero_tts extension, I swapped in calls to bark tts. I only chose bark because it had a Japanese model.
https://github.com/suno-ai/bark

But, you might have some luck with the new coqui_tts, which is under development. Hopefully they will fix the error I have been having with multi-language support. But it's built in, you would just need to install the requirements.txt https://github.com/oobabooga/text-generation-webui/tree/main/extensions/coqui_tts