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LLMs
Model customization, RAG, or both: A case study with Amazon Nova The introduction of Amazon Nova ...

https://aws.amazon.com/blogs/machine-learning/model-customization-rag-or-both-a-case-study-with-amazon-nova/

#Advanced #(300) #Amazon #Bedrock #Amazon #Machine #Learning #Amazon #Nova #Amazon #SageMaker

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Amazon Web Services · Model customization, RAG, or both: A case study with Amazon Nova | Amazon Web ServicesThe introduction of Amazon Nova models represent a significant advancement in the field of AI, offering new opportunities for large language model (LLM) optimization. In this post, we demonstrate how to effectively perform model customization and RAG with Amazon Nova models as a baseline. We conducted a comprehensive comparison study between model customization and RAG using the latest Amazon Nova models, and share these valuable insights.
Public
LLMs
Multi-LLM routing strategies for generative AI applications on AWS Organizations are increasingly...

https://aws.amazon.com/blogs/machine-learning/multi-llm-routing-strategies-for-generative-ai-applications-on-aws/

#Advanced #(300) #Amazon #Bedrock #Artificial #Intelligence #Best #Practices #Generative #AI #Technical

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Amazon Web Services · Multi-LLM routing strategies for generative AI applications on AWS | Amazon Web ServicesOrganizations are increasingly using multiple large language models (LLMs) when building generative AI applications. Although an individual LLM can be highly capable, it might not optimally address a wide range of use cases or meet diverse performance requirements. The multi-LLM approach enables organizations to effectively choose the right model for each task, adapt to different […]
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Semantic-Search
Optimize multimodal search using the TwelveLabs Embed API and Amazon OpenSearch Service In this b...

https://aws.amazon.com/blogs/big-data/optimize-multimodal-search-using-the-twelvelabs-embed-api-and-amazon-opensearch-service/

#Advanced #(300) #Amazon #OpenSearch #Service #Partner #solutions

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Amazon Web Services · Optimize multimodal search using the TwelveLabs Embed API and Amazon OpenSearch Service | Amazon Web ServicesIn this blog post, we show you the process of integrating TwelveLabs Embed API with OpenSearch Service to create a multimodal search solution. You'll learn how to generate rich, contextual embeddings from video content and use OpenSearch Service's vector database capabilities to enable search functionalities. By the end of this post, you'll be equipped with the knowledge to implement a system that can transform the way your organization handles and extracts value from video content.
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