From ca6ef6cf535849b1026da8b29ad236b80dde3c48 Mon Sep 17 00:00:00 2001 From: Ikko Eltociear Ashimine Date: Sat, 18 Jan 2025 01:36:52 +0900 Subject: [PATCH] docs: update README.md langauges -> languages --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 3453b36..e00b08c 100644 --- a/README.md +++ b/README.md @@ -81,7 +81,7 @@ Learning new languages "from scratch" is a pre-training task, but providing mult | Dataset | # | Authors | Date | Notes | | ------------------------------------------------------------------------------------------------------------- | ----- | ---------------------------- | -------- | --------------------------------------------------------------------------------- | | [aya dataset](https://huggingface.co/datasets/CohereForAI/aya_dataset) | 204k | Singh et al. | Feb 2024 | Multilingual instruction fine-tuning dataset curated by an open-science community via Aya Annotation Platform. | -| [M2Lingual](https://huggingface.co/datasets/ServiceNow-AI/M2Lingual) | 175K | ServiceNow AI | June 2024 | Dataset spanning 70+ langauges and 20 NLP tasks generated from GPT-4 using task-based taxonomy guided evolutions. More details in [M2Lingual](https://arxiv.org/abs/2406.16783) paper.| +| [M2Lingual](https://huggingface.co/datasets/ServiceNow-AI/M2Lingual) | 175K | ServiceNow AI | June 2024 | Dataset spanning 70+ languages and 20 NLP tasks generated from GPT-4 using task-based taxonomy guided evolutions. More details in [M2Lingual](https://arxiv.org/abs/2406.16783) paper.| ### Agent & Function calling Function calling allows large language models (LLMs) to execute predefined functions with parameters inferred from user prompts, rather than generating standard text responses. This enables LLMs to seamlessly integrate with external systems, perform complex operations, and provide more accurate and contextually relevant responses.