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@@ -48,12 +48,12 @@ Chosen subsets of the 91 billion corpus were upsampled resulting in a size of **
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  Llama-Krikri-8B-Instruct is the result of post-training Llama-Kriki-8B-Base and features:
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  - Enhanced chat capabilities and instruction-following in both Greek and English.
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  - Document translation from Greek to English, French, German, Italian, Portuguese, Spanish and vice versa.
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- - Domain-specifc expertise for specialized legal, financial, medical, and scientific applications.
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  - Great performance on generation, comprehension, and editing tasks, such as summarization, creative content creation, text modification, entity recognition, sentiment analysis, etc.
 
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  - Retrieval-Augmented Generation (RAG) utilizing multiple documents with 128k context length.
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  - Improved coding and agentic capabilities with correct formatting and tool use.
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  - Conversion or structured extraction (e.g., XML, JSON) in data-to-text & text-to-data settings.
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- - Analytical thinking and Chain-of-Thought (CoT) reasoning for problem-solvings.
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  🚨 **More information on the post-training corpus and methdology coming soon.** 🚨
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  Llama-Krikri-8B-Instruct is the result of post-training Llama-Kriki-8B-Base and features:
49
  - Enhanced chat capabilities and instruction-following in both Greek and English.
50
  - Document translation from Greek to English, French, German, Italian, Portuguese, Spanish and vice versa.
 
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  - Great performance on generation, comprehension, and editing tasks, such as summarization, creative content creation, text modification, entity recognition, sentiment analysis, etc.
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+ - Domain-specifc expertise for specialized legal, financial, medical, and scientific applications.
53
  - Retrieval-Augmented Generation (RAG) utilizing multiple documents with 128k context length.
54
  - Improved coding and agentic capabilities with correct formatting and tool use.
55
  - Conversion or structured extraction (e.g., XML, JSON) in data-to-text & text-to-data settings.
56
+ - Analytical thinking and Chain-of-Thought (CoT) reasoning for problem-solving.
57
 
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  🚨 **More information on the post-training corpus and methdology coming soon.** 🚨
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