Architecture Blog Machine Learning Scalability 
Cloudera
NOVEMBER 1, 2023
Its architecture, known as retrieval-augmented generation (RAG) , is key in reducing hallucinated responses, enhancing the reliability and utility of LLM applications, making user experience more meaningful and valuable. An overview of the RAG architecture with a vector database used to minimize hallucinations in the chatbot application.
Netflix Tech
JANUARY 25, 2023
Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. Marken architecture Above picture represents the block diagram of the architecture for our service. zookeeper service, internationalization service etc.
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Confluent
FEBRUARY 6, 2019
Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.
CIO
MARCH 13, 2023
By Ram Velaga, Senior Vice President and General Manager, Core Switching Group This article is a continuation of Broadcom’s blog series: 2023 Tech Trends That Transform IT. Stay tuned for future blogs that dive into the technology behind these trends from more of Broadcom’s industry-leading experts.
CIO
OCTOBER 13, 2023
Machine learning engineer Machine learning engineers are tasked with transforming business needs into clearly scoped machine learning projects, along with guiding the design and implementation of machine learning solutions.
CIO
FEBRUARY 14, 2023
To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s also used to deploy machine learning models, data streaming platforms, and databases. That’s not to say it’ll be easy.
Erik Bernhardsson
JANUARY 9, 2019
Training machine learning models is another example. Let’s say you are building a fraud detection system and you have a machine learning model to detect if some user action is fradulent. Of course, backend architecture is a bit more mature, and there’s about 1,000 blog posts about best practices. Side note.
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