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Revolutionize your site for growth, innovation, and customer satisfaction with composable architecture

CIO

In the realm of systems, this translates to leveraging architectural patterns that prioritize modularity, scalability, and adaptability. Headless, composable architectures are helping businesses select best-of-breed products and compose them into a system that aligns with business goals. What is a composable architecture?

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Unbundling the Graph in GraphRAG

O'Reilly Media - Ideas

When a question gets asked, run its text through this same embedding model, determine which chunks are nearest neighbors , then present these chunks as a ranked list to the LLM to generate a response. The various flavors of RAG borrow from recommender systems practices, such as the use of vector databases and embeddings.

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AI agents loom large as organizations pursue generative AI value

CIO

This is something the tech industry has seen time and again with robotic process automation, where bots taking their cues from rules-based programming got stuck when a variation presented itself. Truly autonomous agents must correct themselves so they can achieve their goals. A similar approach to infrastructure can help.

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Build an AI-powered document processing platform with open source NER model and LLM on Amazon SageMaker

AWS Machine Learning - AI

By using Mixtral-8x7B for abstractive summarization and title generation, alongside a BERT-based NER model for structured metadata extraction, the system significantly improves the organization and retrieval of scanned documents. The following diagram illustrates the solution architecture.

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Artificial Intelligence Takes Center Stage at the Global Software Architecture Summit 2024

Apiumhub

Apiumhub is proud to present the Global Software Architecture Summit 2024 , a three-day event aimed at bringing together software architecture experts from around the world and those interested in creating functional software to improve their skills, share knowledge, and connect.

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

They can use Amazon SageMaker AI with MLflow to create, manage, and track ML experiments, or use Amazon SageMaker AI with TensorBoard to visualize model architecture and address convergence issues. Frontier model builders can further enhance model performance using built-in ML tools within SageMaker HyperPod.

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Foundation Model for Personalized Recommendation

Netflix Tech

This scenario underscored the need for a new recommender system architecture where member preference learning is centralized, enhancing accessibility and utility across different models. Particularly, these models predominantly extract features from members recent interaction histories on the platform.