How much VRAM do you need to run a local LLM? A rule of thumb
Estimate memory for a local model from its parameter count and bits per weight, then add room for the KV cache. Worked numbers for 7B, 13B and 70B.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Estimate memory for a local model from its parameter count and bits per weight, then add room for the KV cache. Worked numbers for 7B, 13B and 70B.
Often hundreds to low thousands of clean examples, not millions. What the LIMA paper showed about quality over quantity and how to size your set.
Five, ten or twenty? Anthropic found 20 chunks beat 5 or 10 in their tests. How to find the right top k for your own code and model, with a method.
Claude plans meter usage in a five hour session plus a weekly limit, not a message count. What drives it, how to check it and what to do at the limit.
A heartbeat alert fires when an expected signal stops arriving. Learn where to use it for jobs, log sources and the alerting pipeline itself.
What a 429 response means, what the Retry-After header does, and how servers and clients should behave so limits protect you without breaking users.
AI reviewers sometimes flag correct code or state falsehoods. How to log, dismiss and tune so false positives do not erode trust or hide real findings.
Not every 429 is a rate limit. Learn to tell a retryable limit from a spend cap, use retry-after correctly, and avoid retry storms that waste money.
Hackathon and demo day checklist: separate data, throwaway credentials, public repo hygiene, careful dependency choice and cleanup afterwards.
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