Dynatrace
JANUARY 31, 2024
Retrieval-augmented generation emerges as the standard architecture for LLM-based applications Given that LLMs can generate factually incorrect or nonsensical responses, retrieval-augmented generation (RAG) has emerged as an industry standard for building GenAI applications. This is equivalent to driving 123 gas-powered cars for a whole year.
The Netflix TechBlog
JANUARY 10, 2024
This architecture shift greatly reduced the processing latency and increased system resiliency. We expanded pipeline support to serve our studio/content-development use cases, which had different latency and resiliency requirements as compared to the traditional streaming use case. This drove the approach of the “release train”.
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The Netflix TechBlog
NOVEMBER 17, 2022
Our approach to NN-based video downscaling The deep downscaler is a neural network architecture designed to improve the end-to-end video quality by learning a higher-quality video downscaler. Architecture of the deep downscaler model, consisting of a preprocessing block followed by a resizing block.
Adrian Cockcroft
JANUARY 20, 2023
Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. Next generation architectures will use CXL3.0 Next generation architectures will use CXL3.0
The Netflix TechBlog
APRIL 26, 2022
We built Axion primarily to remove any training-serving skew and make offline experimentation faster. Figure 1: Netflix ML Architecture Fact: A fact is data about our members or videos. We make sure there is no training/serving skew by using the same data and the code for online and offline feature generation.
High Scalability
JANUARY 11, 2022
Architecture. When a user requests for feed then there will be two parallel threads involved in fetching the user feeds to optimize for latency. This will not only reduce the overall latency in displaying the user-feeds to users but will also prevent re-computation of user-feeds. Sending and receiving messages from other users.
ACM Sigarch
MAY 31, 2023
Introduction Memory systems are evolving into heterogeneous and composable architectures. A combination of these mechanisms may be necessary to tackle challenges arising from heterogeneous memory systems and NUMA architectures. even lowered the latency by introducing a multi-headed device that collapses switches and memory controllers.
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