bolinocroustibat mishig HF staff commited on
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Fix english translations (#4)

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- Fix english translations (71ab1b3f0f580633a010e67564e6489e98016bd5)


Co-authored-by: Mishig Davaadorj <mishig@users.noreply.huggingface.co>

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  1. README.md +2 -2
README.md CHANGED
@@ -184,7 +184,7 @@ C'est ce que nous faisons actuellement en production avec ALBERT.
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  <!-- Provide a longer summary of what this model is. -->
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- Guillaume Tell vise à améliorer la vérifiabilité de la génération de textes basés sur des sources administratives françaises. A partir d'une question et d'une sélection de cinq sources, il génère une réponse sourcée, avec des paramètres spéciaux pour les citations.
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  - **Developed by:** Etalab (Service du Datalab) - Direction Interministérielle du Numérique
@@ -201,7 +201,7 @@ Guillaume Tell has been developed for **ALBERT**, the French government's interm
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  ### Purposes and limitations of the model
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  Guillaume Tell is a language model, with conversational and sourced information retrieval capabilities. It can be used to formulate an answer to questions relating to the French administration (eg. administrative procedures) by retrieving relevant information from its knowledge base (RAG) and synthesizing an answer from it.
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- Guillaume Tell provides first-level answers and is not able to give complex administrative answers. He is not able to answer questions outside the French administrative field. He provides answers in French only.
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  ### Use cases and users
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  It is intended for use by public officials of French administrations to facilitate the search for administrative information. It is not recommended to put Guillaume Tell directly into the hands of people who have not been specifically trained in its use and who lack expertise in administrative procedures, such as users of public services. Indeed, like any LLM, Guillaume Tell presents risks of hallucination or forgetfulness that an untrained person will not be able to detect.
 
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  <!-- Provide a longer summary of what this model is. -->
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+ Guillaume Tell aims to improve the verifiability of the generation of texts based on French administrative sources. From a question and a selection of five sources, it generates a sourced answer, with special parameters for citations.
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  - **Developed by:** Etalab (Service du Datalab) - Direction Interministérielle du Numérique
 
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  ### Purposes and limitations of the model
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  Guillaume Tell is a language model, with conversational and sourced information retrieval capabilities. It can be used to formulate an answer to questions relating to the French administration (eg. administrative procedures) by retrieving relevant information from its knowledge base (RAG) and synthesizing an answer from it.
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+ Guillaume Tell provides first-level answers and is not able to give complex administrative answers. It is not able to answer questions outside the French administrative field. It provides answers in French only.
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  ### Use cases and users
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  It is intended for use by public officials of French administrations to facilitate the search for administrative information. It is not recommended to put Guillaume Tell directly into the hands of people who have not been specifically trained in its use and who lack expertise in administrative procedures, such as users of public services. Indeed, like any LLM, Guillaume Tell presents risks of hallucination or forgetfulness that an untrained person will not be able to detect.