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Kicking off GPU Mode [D](reddit.com)
Hey ! I’m starting a series to document my work on GPU infrastructure, LLMs, and CV. Stop #1 is up: A brief look at why GPUs are the center of the industry, the CPU/GPU divide, and why nvidia-smi is the first place you check when things break. We’ll move past the basics quickly to focus on: Empirical architecture differences (Ampere vs. Hopper vs. Blackwell). Handling register pressure in custom kernels. Asynchronous memory paradigms (TMA/wgmma). #CUDA #GPU #KernelOptimization #SystemsProgramming submitted by /u/Positive_Canary1723 [link] [Kommentare]
Showcase: Building ML models that "watch" MMA fights and label events and positional changes making these moments all searchable on a timeline [P](reddit.com)
Hey all, a bit of background - I'm an ex Amateur MMA fighter and BJJ brown belt and am also in the AI/ML space ... weird combo but wanted to know if anyone else was at the intersection of ML/AI and MMA/BJJ. In short, I'm building AI models that "watch" fights and are able to detect positions and moments throughout the fights - things like standing vs clinching vs ground (with intention of becoming more granular in time) along with detecting knockdowns, takedowns, etc. There's a timeline at the bottom of each fight with markers for different moments so you can jump straight to them. Anyway this is where my worlds collide and was curious for thoughts for anyone who wants to check it out. If you do, it's at https://cagesight.ai. All feedback welcome. Thanks all. submitted by /u/UnholyCathedral [link] [Kommentare]
I silently break training codes or configs so I made pybench [P](reddit.com)
It is like pytest but for statistical tests: it ensures no regression of your metrics at a statistical level. It manages tedious things such that seeds, past benchmark results, ... Simple CLI working like pytest but with benchmarks/ directory instead of tests/: pybench # 1st time: samples seeds, saves a baseline, marks NEW pybench # later: reruns on the same seeds, marks PASS / FAIL pybench update # re-baseline after an intended change pybench show # print current baseline stats (--history for per commit) Please give me your feedback, Github: https://github.com/AnthonyBeeblebrox/pybench Docs: https://pybench.readthedocs.io/en/latest/ submitted by /u/SpecificPark2594 [link] [Kommentare]