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  ### πŸš€ **Stage 1 Release** πŸš€
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- We are thrilled to introduce a specialized collection of **68 large language models (LLMs)**, meticulously designed for the accounting and finance sectors. The FinText models have been **pre-trained** on domain-specific historical data, addressing challenges like **look-ahead bias** and **information leakage**. These models are crafted to elevate the accuracy and depth of financial research and analysis.
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  πŸ’‘ **Key Features:**
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  - **Domain-Specific Training:** FinText utilises diverse financial datasets such as news articles, regulatory filings, IP records, corporate speeches (ECB, FED), and more.
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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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  ### πŸš€ **Stage 1 Release** πŸš€
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+ We are thrilled to introduce a specialized collection of **68 large language models (LLMs)**, meticulously designed for the accounting and finance. The FinText models have been **pre-trained** on domain-specific historical data, addressing challenges like **look-ahead bias** and **information leakage**. These models are crafted to elevate the accuracy and depth of financial research and analysis.
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  πŸ’‘ **Key Features:**
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  - **Domain-Specific Training:** FinText utilises diverse financial datasets such as news articles, regulatory filings, IP records, corporate speeches (ECB, FED), and more.
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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.