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/tech/ - Technical SEO

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File: 1782118289299.jpg (69.98 KB, 1024x1024, img_1782118279480_a4kuvp5s.jpg)ImgOps Exif Google Yandex

5a978 No.1806

everyone is talking abt fine-tuning specialized models lately, but were still hitting a wall when it comes to the actual deployment infrastructure . we can make these tiny models incredibly efficient, yet orchestrating them at scale remains a massive headache. the bottleneck is usually the routing layer, not the inference itself . anyone found a reliable way to manage /etc/slm_router/configs w/o adding too much latency?

https://www.freecodecamp.org/news/how-to-build-a-production-architecture-for-small-language-model-fleets/

5a978 No.1807

File: 1782119147400.jpg (206.92 KB, 1024x1024, img_1782119132552_nhc063dr.jpg)ImgOps Exif Google Yandex

the routing logic is where things fall apart once u hit high throughput. we moved away from centralized config management and started using a sidecar pattern to handle the lookups locally on each node. it helps keep the request overhead minimal, but it makes the global state consistency way harder to track . have u tried implementing an xds-based approach for those updates?



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