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@@ -12,3 +12,8 @@ pipelines that will be transformative in the enterprise, especially in knowledge
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  are focused both on the new "ware" ("middleware" and "software" that will wrap and integrate LLMs), as well as designing
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  automation-focused enterprise RAG models, including both industry-specific embedding models and instruction-focused generation models.
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  are focused both on the new "ware" ("middleware" and "software" that will wrap and integrate LLMs), as well as designing
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  automation-focused enterprise RAG models, including both industry-specific embedding models and instruction-focused generation models.
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+ Please check out a few of our blog postings related to these initiatives:
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+ [BLING](https://medium.com/@darrenoberst/small-instruct-following-llms-for-rag-use-case-54c55e4b41a8) |
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+ [RAG-INSTRUCT-TEST-DATASET](https://medium.com/@darrenoberst/evaluating-llm-performance-in-rag-instruct-use-cases-083dc272a31d) |
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+ [LLMWARE EMERGING STACK](https://medium.com/@darrenoberst/the-emerging-llm-stack-for-rag-deee093af5fa) |
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+ [MODEL SIZE TRENDS](https://medium.com/@darrenoberst/are-the-mega-llms-driving-the-future-or-they-already-in-the-past-c3b949f9f5a5)