Updated Apr 27
Sep 1, 2026
Hardware Requirements for Fine‑Tuning Open‑Source AI Models: Choosing the Right Computing Power
Open‑source models like Llama, Mistral, or Falcon have given developers incredible freedom. You no longer have to wait for access to someone else's API. You can take a pretrained model and fine‑tune it for your own tasks. But here comes the real challenge: fine‑tuning can require significant computing resources.
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Aug 21, 2026
How to Benchmark LLMs: Five Mistakes That Skew Your Results
Most in‑house model comparisons are run in a way that guarantees a misleading answer. Not a wrong one exactly, and rarely a dishonest one. Just an answer that would have come out differently if the person running it had pressed enter a second time.
tech industry
Aug 14, 2026
Infrastructure for Continuous Web Data Collection
A one‑off scrape is a weekend project. Running the same collection job every hour for three years is an infrastructure problem, and most teams underestimate how different those two things are. Continuous collection breaks in ways that batch jobs don't. Sites redesign their markup, rate limits tighten overnight, and the IP pool that worked in March gets flagged by June. The stack has to absorb all of it without a human watching the logs. Here's what the working parts look like when a pipeline actually holds up.
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