Update README.md

README.md

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 <!-- KlusAI • Hugging Face Org Card -->
 
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   <!-- Replace the placeholder URL with your banner when it’s ready -->
   <img src="https://via.placeholder.com/1200x250.png?text=KlusAI+Labs" alt="KlusAI Labs banner" width="100%">
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+</p>
 
 <p align="center">
   <strong>AI for Romanian speakers, by Romanian researchers</strong><br>
-  <em>Small-but-mighty language models&nbsp;•&nbsp;Open research&nbsp;•&nbsp;Real-world consulting</em>
+  <em>Small-but-mighty language models • Open research • Real-world consulting</em>
 </p>
 
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   <a href="https://www.klusai.com">
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 ## 🔬 Research spotlight
 
 ### TinyFabulist Project
-TinyFabulist is our flagship **open research programme** on generative narrative AI. Rather than a single dataset, it is a *living corpus* that explores how **small language models (SLMs)** can craft moral fables at scale, providing a fertile playground for studying story structure, controllable generation and cultural adaptation.
+**TinyFabulist** is our flagship *open research programme* on generative narrative AI. Rather than a single dataset, it is a **living corpus** that explores how *small language models (SLMs)* can craft moral fables at scale, providing a fertile playground for studying story structure, controllable generation, and cultural adaptation.
 
-* **Growing corpus** – Public releases begin with **TinyFabulist v1** (~3 M English fables). Upcoming versions will add new languages, richer metadata and evaluation benchmarks.  
-* **Compact-model focus** – All content is produced with lightweight, instruction-tuned models (≤ 8 B params), showing that compelling long-form text is possible without gigantic, closed models.  
-* **Open tooling** – We share generation scripts, evaluation pipelines and annotation guides so the community can reproduce, critique and extend our work.
+- **Growing corpus** – Public releases begin with **TinyFabulist v1** (~3 M English fables). Upcoming versions will add new languages, richer metadata, and evaluation benchmarks.  
+- **Compact-model focus** – All content is produced with lightweight, instruction-tuned models (≤ 8 B params), showing that compelling long-form text is possible without gigantic, closed models.  
+- **Open tooling** – We share generation scripts, evaluation pipelines, and annotation guides so the community can reproduce, critique, and extend our work.
 
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@@ -40,18 +39,19 @@ TinyFabulist is our flagship **open research programme** on generative narrative
 
 | Service | What you get |
 | --- | --- |
-| **Custom AI consulting & delivery** | End-to-end design, build and deployment of tailor-made ML/NLP systems. |
+| **Custom AI consulting & delivery** | End-to-end design, build, and deployment of tailor-made ML/NLP systems. |
 | **Business-process automation** | AI workflows that cut manual effort and boost operational speed. |
 | **Data architecture & analytics** | Data pipelines and dashboards that transform raw data into decisions. |
-| **AI training & upskilling** | Workshops, bootcamps and mentorship for teams and academia. |
+| **AI training & upskilling** | Workshops, bootcamps, and mentorship for teams and academia. |
 
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 ## 🤝 Let’s collaborate
 
 We love open dialogue!  
-• **Website & contact form:** <https://www.klusai.com/contact/>  
-• **GitHub & Twitter:** `@klusai`  
-• **Hugging Face issues:** Open an issue on this profile for technical questions or requests.
+
+- **Website & contact form:** <https://www.klusai.com/contact/>  
+- **GitHub & Twitter:** `@klusai`  
+- **Hugging Face issues:** Open an issue on this profile for technical questions or requests.
 
 > Working on something exciting in Romanian AI? **Drop us a line** – we’re always keen to collaborate.