This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady . We've all been there. You download an assignment, a certificate, a PDF, a screenshot, or an invoice, thinking you'll organize it later.
TL;DR Part 2 of letting an AI agent (Codex, driving KiCad through its CLI) design my Raspberry Pi CM4 Mini-ITX IO board. The board is now fully routed and adopted as the official design : ERC 0, DRC 0, unrouted nets 0, schematic↔PCB mismatches 0. Vendor-model power simulations that timed out la...
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 3: Slow and Steady What I Built Every codebase I've touched has the same line in it: <img src= "/imgs/cookie. png" alt= "" /> It's rarely because we don't care about accessibility. Describing forty images is just the most b...
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SportsLine's Josh Nagel reveals his Emanuel Navarrete vs.
I developed a custom GPU kernel in Triton to accelerate training with a sparse feed-forward network (FFN). With K=256, activating 256 of 4,096 FFN neurons per token (6. 25%), the sparse model achieved 36% higher training throughput than its dense counterpart.