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docs: update README.md #12

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -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.
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