AI圈报教程 / 实战普通
I Benchmarked 3 LLMs on Clinical Care-Management Tasks — They Prescribe the Drug and Skip the Safety Check
内容摘要
This is a submission for the Kaggle Benchmarking Challenge. I Benchmarked 3 LLMs on...
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教程 / 实战普通
KEMT: Benchmarking AI Translation Across Five Kenyan Languages
This is a submission for the Kaggle Benchmarking Challenge. This would probably needs its own...
信息来源：DEV Community
教程 / 实战普通
Multi-Reward RL, Part 3: GDPO + CISPO + REPO-R at 27B, and the Advantage Floor That Stopped Learning
Qwen3.8-27B, 600 steps, 12 reward channels: CISPO, REPO-R and prompt filtering lifted holdout from −0.47 to +1.80, and an advantage floor silently zeroed 96% of the signal.
信息来源：DEV Community · Qwen
教程 / 实战普通
How vLLM CUDA Kernels Write and Read the Paged KV Cache
A concrete example connecting slot_mapping, block_table, cache layouts, and tiled attention.
信息来源：DEV Community
教程 / 实战普通
I Told Six Vision Models a Safe Photo Was Dangerous. Two of Them Started Seeing Danger.
This is a submission for the Kaggle Benchmarking Challenge TL;DR I asked 6 vision models to...
信息来源：DEV Community
教程 / 实战普通
Google AI Overviews Expand Across Branded Queries, DemandSphere Data Shows
Google AI Overviews appeared on a far larger share of tracked branded searches during September 2026,...
信息来源：DEV Community
教程 / 实战普通
Treat AI like a copilot in the cockpit, an extra layer of safety and productivity
Another Rule for Using AI Without Losing My Skills ...
信息来源：DEV Community
教程 / 实战普通
Three releases of my AI memory layer. The best bugs were found by other people.
Time-aware facts, an entity graph measured honestly, and three bugs I only found because strangers read my posts.
信息来源：DEV Community
教程 / 实战普通
I Asked 11 AI Models to Predict My Race Splits. Told Which Race, 8 Beat the Model I Built
This is a submission for the Kaggle Benchmarking Challenge Last weekend I built a model to predict...
信息来源：DEV Community
教程 / 实战普通
n8n Hints at End-to-End Design Automation, but Product Scope Remains Unclear
n8n appears to be exploring how end-to-end automation could reduce repetitive design work, but it has...
信息来源：DEV Community
教程 / 实战普通
Why Token-Level LLM Routers Spend 95% of Their Time on Cache Bookkeeping
Routing 5% of hard tokens to a 32B model and keeping the rest on a 0.6B model looks great on paper, until standard serving engines spend 95.8% of the step redoing prefix matching. TokenRouter fixes the scheduler and hits up to 64x higher t…
信息来源：DEV Community