#llmtraining — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #llmtraining, aggregated by home.social.
-
🚀✨ Look, it's 2026 and apparently, #Unsloth and #Nvidia are on a mission to squeeze every last drop of speed from GPUs; as if anyone out there was asking for yet another way to melt their consumer-grade hardware. 🤯 The authors—who clearly have more names than followers—promise #efficiency gains that’ll make you wonder why you ever settled for only 75% of your LLM training speed in the first place. 🙃
https://unsloth.ai/blog/nvidia-collab #GPUs #LLMTraining #TechNews #HackerNews #ngated -
🚀✨ Look, it's 2026 and apparently, #Unsloth and #Nvidia are on a mission to squeeze every last drop of speed from GPUs; as if anyone out there was asking for yet another way to melt their consumer-grade hardware. 🤯 The authors—who clearly have more names than followers—promise #efficiency gains that’ll make you wonder why you ever settled for only 75% of your LLM training speed in the first place. 🙃
https://unsloth.ai/blog/nvidia-collab #GPUs #LLMTraining #TechNews #HackerNews #ngated -
🚀✨ Look, it's 2026 and apparently, #Unsloth and #Nvidia are on a mission to squeeze every last drop of speed from GPUs; as if anyone out there was asking for yet another way to melt their consumer-grade hardware. 🤯 The authors—who clearly have more names than followers—promise #efficiency gains that’ll make you wonder why you ever settled for only 75% of your LLM training speed in the first place. 🙃
https://unsloth.ai/blog/nvidia-collab #GPUs #LLMTraining #TechNews #HackerNews #ngated -
🚀✨ Look, it's 2026 and apparently, #Unsloth and #Nvidia are on a mission to squeeze every last drop of speed from GPUs; as if anyone out there was asking for yet another way to melt their consumer-grade hardware. 🤯 The authors—who clearly have more names than followers—promise #efficiency gains that’ll make you wonder why you ever settled for only 75% of your LLM training speed in the first place. 🙃
https://unsloth.ai/blog/nvidia-collab #GPUs #LLMTraining #TechNews #HackerNews #ngated -
🚀✨ Look, it's 2026 and apparently, #Unsloth and #Nvidia are on a mission to squeeze every last drop of speed from GPUs; as if anyone out there was asking for yet another way to melt their consumer-grade hardware. 🤯 The authors—who clearly have more names than followers—promise #efficiency gains that’ll make you wonder why you ever settled for only 75% of your LLM training speed in the first place. 🙃
https://unsloth.ai/blog/nvidia-collab #GPUs #LLMTraining #TechNews #HackerNews #ngated -
How Unsloth and Nvidia made LLM training 25% faster on consumer GPUs
https://unsloth.ai/blog/nvidia-collab
#HackerNews #Unsloth #Nvidia #LLMtraining #ConsumerGPUs #AItechnology
-
https://www.europesays.com/dk/59835/ A Major Reliability Challenge in Large-Scale LLM Training (TU Berlin) #berlin #FaultInjection #Germany #GPUs #HardwareSecurity #LLMTraining #LLMs #reliability #SDC #SilentDataCorruption #TechnischeUniversitätBerlin
-
Silent Data Corruption: A Major Reliability Challenge in Large-Scale LLM Training (TU Berlin)
A new technical paper, “Exploring Silent Data Corruption as a Reliability Challenge in LLM Training,” was published by…
#Germany #DE #Europe #EU #Europa #Berlin #faultinjection #GPUs #hardwaresecurity #LLMtraining #LLMs #reliability #SDC #silentdatacorruption #TechnischeUniversitätBerlin
https://www.europesays.com/germany/4039/ -
Databricks just showed that clean, deduped data beats fancy model tweaks for faster LLMs. Their paper reveals a simple data pipeline—language filtering, deduplication, and high‑quality datasets—outperforms architecture tweaks on GPU training. Curious how to boost speed without extra compute? Dive in. #LLMTraining #DataQuality #Databricks #Deduplication
🔗 https://aidailypost.com/news/databricks-paper-finds-data-quality-outweighs-model-architecture-llm
-
Just posted a blog titled “Book Review: Deep Learning for Network Engineers (by Toni Pasenen)”. https://www.linkedin.com/pulse/book-review-deep-learning-network-engineers-toni-pasenen-welcher-cgome/ Tags: #PeterWelcher #CCIE1773 #LLM #LLMTraining #AI #AInetworking #BackendNetwork