Update README.md

README.md

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 ### 🚀 **Stage 1 Release** 🚀
 
-We are excited to announce the release of a specialised suite of **LLMs** designed specifically for accounting and finance. FinText models have been **pre-trained** on domain-specific historical data to overcome common issues such as **look-ahead bias** and **information leakage**. These models are tailored to enhance the performance of financial studies and analyses.
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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.
 💡 **Key Features:**
 - **Domain-Specific Training:** FinText utilises diverse financial datasets such as news articles, regulatory filings, IP records, corporate speeches (ECB, FED), and more.
 - **Time-Period Specific Models:** Separate models are pre-trained for each year from **2007 to 2023**, ensuring the utmost precision and historical relevance.