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Unbundling the Graph in GraphRAG

O'Reilly Media - Ideas

What’s old becomes new again: Substitute the term “notebook” with “blackboard” and “graph-based agent” with “control shell” to return to the blackboard system architectures for AI from the 1970s–1980s. In some cases, knowledge graphs must be constructed using ontologies (such as from NIST) as guardrails or for other considerations.

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Reactive architecture benefits & use cases

Apiumhub

While the term reactive architecture has been around for a long time, only relatively recently has it been recognized by the industry and hit mainstream adoption. Reactive Architecture is nothing more than the combination of reactive programming and software architectures. Reactive architecture benefits.

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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

The term ‘system’ here refers to any set of interdependent modules that work together for a common purpose. Uber, Instagram, and Twitter (now X) are all examples of ‘systems’. Unlike a coding interview question, system design interviews are free-form discussions, with no right or wrong answers.

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Need Business Agility? Boost Your IT Capabilities!

Xebia

That’s why modern IT organizations and teams use the continuous delivery pipeline, where features evolve seamlessly from idea to construction to testing and finally to production. Security controls are built into the system architecture. Launching product features is best done without obstacles in the delivery pipeline.

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Our book “Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture” is published!

Apiumhub

We are delighted to announce the release of our new book “ Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture ”. Global Software Architecture Summit for meeting all these software architects, who push me forward and who generate interesting discussions. ” How did it all started?

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Reinforcement Learning for Budget Constrained Recommendations

Netflix Tech

by Ehtsham Elahi with James McInerney , Nathan Kallus , Dario Garcia Garcia and Justin Basilico Introduction This writeup is about using reinforcement learning to construct an optimal list of recommendations when the user has a finite time budget to make a decision from the list of recommendations.

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