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A simple technique makes RAG up to 40x faster & 32x memory efficient! - Perplexity uses it in its search index - Google uses it in Vertex RAG engine - Azure uses it in its search pipeline Let's understand how to use it in a RAG system (with code):

Akshay 🚀x.com

i think this is a better show case of @zero__ms one step closer to making zeron the fastest gpt wrapper video is realtime and on production https://t.co/fAlAPcjemk

wing x.com

spent the past hour coding a live feed for @believeapp launches see all latest tokens, creators and creator stats powered by @getmoni_io you can also set specific thresholds for highlights pls dont crash indexer try it out... See more

ultra

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Wasn't fast enough, needed to use shared array buffer, web workers, and better GPU upload batching https://t.co/o6BfVetKY1

Brandon x.com

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Study2023-1202. Made with #touchdesigner #realtimegraphics #generativeart #newmediaart #geometricabstraction #abstractart #motiongraphics #artandtechnology #visualgraphics

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#rag #ai #genai | Sarthak Rastogi | 16 comments

Sarthak Rastogi linkedin.com

Stop settling for "Looks Good to Me" and start building better RAG systems. https://t.co/jZbXlPQdOl This free email course provides you with a proven foundational framework to help you go beyond the basics to improve performance, quality, and user experience. By... See more

jason liu x.com

Got the Runway Gen3 Video player working now on iOS!

Ray Fernando x.com

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I load-tested Rails 8 app behind the new kamal-proxy, and it's a solid win. Under load, both traefik and kamal-proxy use ~18% CPU (2 cores Hetzner ARM CAX11): • traefik uses up to 136 MB RAM, 62 MB after GC. • kamal-proxy uses up to 46 MB RAM, 19 MB after GC. https://t.co/CaFq9sQvPX

Vitaliy Gambala

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