Kelly Mears

KnowledgeDomain 03

Agents & Language Models

How systems built on language models actually work, and how they fail.

Notes
40
Links within
188
Links outward
119
Knowledge graph: 99 notes, 307 links.Each dot is a note, sized by how many links it has and colored by topic. Focus or hover a dot to isolate it and its neighbors; activate it to open the note. The graph is a single tab stop: use the arrow keys to move between notes, Home and End for the most and least linked, Enter to open the focused note, and Escape to leave the graph.Ground TruthPlausible MechanismSilent FailureDeterminismFalsifiabilityGoodhart's LawProvenanceAnchoring EffectLarge Language ModelProcedural GenerationDocumentation RotVacuous TruthCode ReviewTool UseExhaustive ClaimNondeterminismSecret ManagementSeeded RandomnessRace ConditionCache InvalidationPrompt EngineeringContext WindowHash FunctionCode SigningFail FastFlaky TestHallucinationKnowledge GraphLeast PrivilegeLinguistic RelativityStreaming ResponseTokenWrite-Ahead LoggingConfidence TrickPull RequestSchema ValidationToken BudgetWikiAssertionCharacter EncodingGuardrailRecord and Replay TestingSystem PromptAgentic LoopAutomation BiasBacklinkEvaluation HarnessMalaphorPromptPrompt InjectionSupply Chain SecurityTest FixtureTime as ResourceAutomatic Speech RecognitionDefensive DefaultFingerprintMondegreenResource StarvationStructured OutputTest DoubleZettelkastenAdversarial ReviewConstrained DecodingFair-Play MysteryMechanistic InterpretabilitySchema DriftSubagentAgent MemoryGit WorktreeHuman in the LoopLeast Recently Used CacheLLM-as-JudgeMarkov ChainModel Context ProtocolMulti-Agent OrchestrationSegmented SleepSnowcloneStructured DataUnreachable CodeAgent SkillDisco ElysiumFan-Out and Fan-InJSON SchemaModel RoutingMonadShibbolethSubtitlingHeisenbugOverfittingRetrieval-Augmented GenerationFine-TuningTemperature SamplingType InferenceChain-of-Thought PromptingDraft and PublishedVector DatabaseDuck TypingEmbeddingQuantization

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Where it reaches

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The hubs

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Every note