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

CIO

Composable architectures go beyond “headless” systems. Not only do they decouple the frontend presentation from the backend system logic, but they also enable further composition of the backend systems. These building blocks efficiently communicate using APIs, allowing for flexible integration.

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Reduce ML training costs with Amazon SageMaker HyperPod

AWS Machine Learning - AI

Before AWS, Anoop held several leadership roles at startups and large corporations, primarily focusing on silicon and system architecture of AI infrastructure. SageMaker HyperPod saves 104 days of training time overall, resulting in a faster time to market (by 3.5

Training 107
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4 questions CIOs are asking about cloud computing

CIO

Cloud computing is a paradigm shift that requires us to think differently about system architecture; you have to stop treating your cloud like a data center. It also requires an operational shift in how we all work together to craft high availability systems and applications while controlling costs. You may spend even more.

Cloud 148
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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.

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A Detailed Guide on Conducting Effective System Design Interviews

Hacker Earth Developers Blog

Additionally, system design interviews evaluate a candidate’s holistic understanding of system architecture, encouraging them to consider the entire system rather than focusing on isolated components. Apart from that, system design interviews are great for assessing a candidate for their communication skills.