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Prioritize pixel‑based SERP optimization and schema for rich results to increase above‑the‑fold visibility, and track brand search volume as a key ranking signal.
Configure OpenCode to use DigitalOcean’s Inference Router by setting the model field to 'router:your-router-name' and connect via /connect to automatically route requests to the most cost‑effective model.
Test media library voice control and alt text import on staging, update theme templates to remove title attributes from author links, verify admin color contrast, and upgrade to WordPress 7.0 by June 15.
Add an interpreter skill by bundling a TypeScript module with a skill and updating the harness to import it, enabling deterministic code execution and subagent spawning.
Check your site’s content for buying‑intent prompts and optimize for longer, descriptive queries to increase AI Overview visibility.
Implement measurement infrastructure and human verification loops for agentic AI to prevent costly errors and ensure reliability.
Build a lightweight LLM inference engine in C++/CUDA using tiny‑vllm, supporting Llama 3.2 1B Instruct with static/continuous batching and PagedAttention; test on Linux with CUDA 13.1.
Document the claim and harness details in evaluation reports to ensure validity and reproducibility.
Review the checklist to avoid design pitfalls in EVs.
Benchmark MTP on vLLM and llama.cpp to find the optimal speculative token count per model and measure speedups.
Test the train-a-model-from-scratch repo on an 8GB GPU to build a 25M TinyStories model; compare performance with mHC, BitNet, TurboQuant, and MTP.