Fuente: @arxiv.bsky.social (@arxiv)
Vía: Md Ismail Sojal (@0x0SojalSec), Dr. Alejandro Pisanty (@apisanty)
arxiv.org/html/2608.10...
Fuente: @arxiv.bsky.social (@arxiv)
Vía: Md Ismail Sojal (@0x0SojalSec), Dr. Alejandro Pisanty (@apisanty)
arxiv.org/html/2608.10...
-Fates of Ort
-Library of Ruina (Full Stop + GenRec only)
-Moonring
-Rogue Trader (first)
-Citizen Sleeper (2)
-Tales of Maj'eyal
-Tangledeep NG+
-Devil Spire
@andrewidot.bsky.social @iforgot the name
Pathologic 2
Touhou Artificial Dream in Arcadia
Warhammer 40k: Rogue Trader (replay)
Yakuza 0
@7evenfoldrrr.bsky.social @ameshalyn.bsky.social time to clean up that backlog
I challenge @nukboii.bsky.social @keytoaeris.bsky.social @chrisbottger.bsky.social @rarewarington.bsky.social and @plunyu.bsky.social
-Fates of Ort
-Library of Ruina (Full Stop + GenRec only)
-Moonring
-Rogue Trader (first)
-Citizen Sleeper (2)
-Tales of Maj'eyal
-Tangledeep NG+
-Devil Spire
@andrewidot.bsky.social @iforgot the name
• 생산 모델의 복잡성 해결: 넷플릭스의 기존 추천 시스템은 수천 개의 수작업 피처와 복잡한 아키텍처에 의존하여 새로운 유스케이스 추가 비용이 높았으나, 대형 언어 모델(LLM) 기반의 GenRec이 이를 대체하기 위해 개발되었습니다. • GenRec의 핵심 파이프라인: GenRec은 사용자 이력, 아이템 메타데이터...
• 생산 모델의 복잡성 해결: 넷플릭스의 기존 추천 시스템은 수천 개의 수작업 피처와 복잡한 아키텍처에 의존하여 새로운 유스케이스 추가 비용이 높았으나, 대형 언어 모델(LLM) 기반의 GenRec이 이를 대체하기 위해 개발되었습니다. • GenRec의 핵심 파이프라인: GenRec은 사용자 이력, 아이템 메타데이터...
netflixtechblog.com/genrec-towar...
netflixtechblog.com/genrec-towar...
genrec only lor run experience (urban plague edition)
genrec only lor run experience (urban plague edition)
https://zenn.dev/catatsuy/scraps/7a1bb37421789b
https://zenn.dev/catatsuy/scraps/7a1bb37421789b
¿GenRec Netflix cómo funciona? Descubrí cómo el nuevo recomendador con LLM lee tu historial como texto y evita recomendar películas que no existen en 2026
#genrec #netflix #sistemasderecomendacion #llm #machinelearning
netflixtechblog.com/genrec-towar...
netflixtechblog.com/genrec-towar...
⬇️⬇️⬇️
rctgn.cat/peces-inform...
⬇️⬇️⬇️
rctgn.cat/peces-inform...
GenRec: Unifying Video Generation and Recognition with Diffusion Models
https://arxiv.org/abs/2408.15241
GenRec: Unifying Video Generation and Recognition with Diffusion Models
https://arxiv.org/abs/2408.15241
Ata Çelen, Jaewoo Jung, Federico Tombari, @marcpollefeys.bsky.social, Sunghwan Hong, @miniemeyer.bsky.social, @danielbarath.bsky.social
arxiv.org/abs/2608.17832
Ata Çelen, Jaewoo Jung, Federico Tombari, @marcpollefeys.bsky.social, Sunghwan Hong, @miniemeyer.bsky.social, @danielbarath.bsky.social
arxiv.org/abs/2608.17832
Ata Çelen, Jaewoo Jung, Federico Tombari ... Daniel Barath
arxiv.org/abs/2608.17832
Trending on scholar-inbox.com
Ata Çelen, Jaewoo Jung, Federico Tombari ... Daniel Barath
arxiv.org/abs/2608.17832
Trending on scholar-inbox.com
Tencent decouples input and output representations to address the dual-stage information bottleneck in generative recommendation.
📝 arxiv.org/abs/2605.14512
Tencent decouples input and output representations to address the dual-stage information bottleneck in generative recommendation.
📝 arxiv.org/abs/2605.14512
courionai.com/news/2026-08-23-netflix-genrec-language-model-recommendations
#AI #Netflix #RecommendationSystems
courionai.com/news/2026-08-23-netflix-genrec-language-model-recommendations
#AI #Netflix #RecommendationSystems
Source: The Decoder AI
Source: The Decoder AI
#Netflix #GenRec #YapayZeka #AI #MakineÖğrenimi (3/3)
#Netflix #GenRec #YapayZeka #AI #MakineÖğrenimi (3/3)
Netflix pitted its years-old recommendation engine against an in-house language model called GenRec and says it got better results. Instead of relying on thousands of hand-crafted features, GenRec…
Via The Decoder
Netflix pitted its years-old recommendation engine against an in-house language model called GenRec and says it got better results. Instead of relying on thousands of hand-crafted features, GenRec…
Via The Decoder