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@@ -21,13 +21,7 @@ We are excited to announce the release of a specialised suite of **LLMs** design
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  - **Time-Period Specific Models:** Separate models are pre-trained for each year from **2007 to 2023**, ensuring the utmost precision and historical relevance.
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  - **RoBERTa Architecture:** The suite includes both a **base model** with **125 million parameters** and a **smaller variant** with **51 million parameters**—totalling 34 pre-trained models. 🎯
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- 🗂 **Datasets Used:**
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- - News articles 📄
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- - Regulatory filings 🏛️
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- - IP records 🧑‍💼
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- - ECB & FED speeches 🗣️
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- - Corporate event transcripts 📊
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- - Wikipedia 🧠 (for general knowledge)
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  Stay tuned for further updates and additions to FinText, as we continue refining and expanding our offerings for the financial and academic communities! 📈✨
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  - **Time-Period Specific Models:** Separate models are pre-trained for each year from **2007 to 2023**, ensuring the utmost precision and historical relevance.
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  - **RoBERTa Architecture:** The suite includes both a **base model** with **125 million parameters** and a **smaller variant** with **51 million parameters**—totalling 34 pre-trained models. 🎯
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+ ]
 
 
 
 
 
 
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  Stay tuned for further updates and additions to FinText, as we continue refining and expanding our offerings for the financial and academic communities! 📈✨
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