From fe598387c347f880b7394aba93de5e35299ddbde Mon Sep 17 00:00:00 2001 From: Marcel Klehr Date: Mon, 24 Jun 2024 12:40:25 +0200 Subject: [PATCH] Apply suggestions from code review Co-authored-by: Josh Signed-off-by: Marcel Klehr --- admin_manual/ai/app_llm2.rst | 4 ++-- admin_manual/ai/app_stt_whisper2.rst | 2 +- 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/admin_manual/ai/app_llm2.rst b/admin_manual/ai/app_llm2.rst index 67b4d68d6..28131a1dc 100644 --- a/admin_manual/ai/app_llm2.rst +++ b/admin_manual/ai/app_llm2.rst @@ -11,7 +11,7 @@ This app uses `ctransformers `_ under * `Llama3 8b Instruct `_ (reasonable quality; fast; good acclaim; multilingual output may not be optimal) * `Llama3 70B Instruct `_ (good quality; good acclaim; good multilingual output) -This app supports input and output in other languages than English, if the underlying model supports the language. +This app supports input and output in languages other than English if the underlying model supports the language. Requirements ------------ @@ -76,7 +76,7 @@ Nextcloud customers should file bugs directly with our Support system. Known Limitations ----------------- -* We currently only support languages that the underlying model supports; correctness of language use in other languages than English may be poor depending on the language's coverage in the model's training data (We recommended model Llama 3 or other models explicitly trained on multiple languages) +* We currently only support languages that the underlying model supports; correctness of language use in languages other than English may be poor depending on the language's coverage in the model's training data (We recommended model Llama 3 or other models explicitly trained on multiple languages) * Language models can be bad at reasoning tasks * Language models are likely to generate false information and should thus only be used in situations that are not critical. It's recommended to only use AI at the beginning of a creation process and not at the end, so that outputs of AI serve as a draft for example and not as final product. Always check the output of language models before using it. * Make sure to test the language model you are using it for whether it meets the use-case's quality requirements diff --git a/admin_manual/ai/app_stt_whisper2.rst b/admin_manual/ai/app_stt_whisper2.rst index 1557036ab..0fddadad5 100644 --- a/admin_manual/ai/app_stt_whisper2.rst +++ b/admin_manual/ai/app_stt_whisper2.rst @@ -6,7 +6,7 @@ App: Local Whisper Speech-To-Text (stt_whisper2) The *stt_whisper2* app is one of the apps that provide Speech-To-Text functionality in Nextcloud and act as a media transcription backend for the :ref:`Nextcloud Assistant app`, the *talk* app and :ref:`other apps making use of the core Translation API`. The *stt_whisper2* app specifically runs only open source models and does so entirely on-premises. Nextcloud can provide customer support upon request, please talk to your account manager for the possibilities. -This app supports input and output in other languages than English, if the underlying model supports the language. +This app supports input and output in languages other than English if the underlying model supports the language. This app uses `faster-whisper `_ under the hood. Output quality will differ depending on which model you use, we recommend the following models: