llm check
An LLM check is the act of running something past an AI language model to verify, fact-check, summarize, or improve it before trusting or using it — the 2020s equivalent of Googling something, but more conversational and more prone to confident-sounding errors.
Definitions
An LLM check is the act of running something past an AI language model to verify, fact-check, summarize, or improve it before trusting or using it — the 2020s equivalent of Googling something, but more conversational and more prone to confident-sounding errors. When someone says they're doing an LLM check, they're acknowledging both the utility and the skepticism: the model might be right, or it might be hallucinating with complete conviction. LLM checks have become a reflex for students, writers, and professionals navigating a world where AI assistance is ubiquitous.
Hold on, let me do a quick LLM check on this legal clause before we sign anything.
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Other words near "llm check" (L)
Browse all slang words starting with L.
Related terms
Semantically related
- hallucination check72%
A hallucination check is the moment — increasingly necessary in the age of AI-generated content — when someone pauses to verify whether what they just read, heard, or received actually reflects reality. Borrowed from the technical AI term for when large language models confidently produce false information, the hallucination check has migrated into everyday slang to describe any reality audit: fact-checking a hot take, googling a citation that sounds slightly too convenient, or just asking 'wait, did that actually happen?' The term carries a mild paranoia that feels appropriate for a media environment where plausible-sounding nonsense travels fast.
- l check70%
A call-out or prompt asking someone to acknowledge that they took a loss — either in an argument, a situation, a decision, or life in general. Dropping an L check on someone is a way of formally presenting evidence of their failure and requesting a receipt. It's confrontational but usually playful, delivered alongside screenshots, receipts, or simply a knowing look. The person being L checked is expected to admit the L or face escalating mockery. Not taking your L gracefully after an L check is itself an L.
- embedding check66%
The informal act of running a quick sanity test on your vector embeddings to verify they're actually capturing semantic meaning correctly — kind of like a vibe check but for your ML pipeline. An embedding check might involve querying similar words to see if the model clusters them sensibly, or confirming that cosine similarity scores feel right. It's the unglamorous but essential quality-assurance step that ML engineers do before trusting their retrieval or recommendation systems to work properly.
- liming check66%
A liming check is a casual social temperature read — basically pinging the group to see who's down to hang, chill, and vibe with zero agenda. Rooted in the Caribbean tradition of liming (relaxed, unplanned socializing), a liming check is what you send in the group chat when you want to know if the vibe is right for a spontaneous link-up. It's low pressure by design: nobody's committed until everybody's confirmed, and the whole point is that nothing is forced. Pure vibes, open invite.
- inference check64%
A quick gut-check moment — usually mid-conversation or mid-project — where you pause to ask whether you're working from actual facts or just filling in gaps with assumptions. An inference check is the intellectual equivalent of receipts: are you reading what's actually there, or are you pattern-matching your way to a conclusion that feels right? In AI contexts it refers specifically to auditing model outputs to verify they reflect real data rather than confident-sounding guesses. In everyday use it's calling yourself (or someone else) out for jumping to conclusions.