Latest Ai-Reliability Articles

Building an AI prototype is relatively easy. Building an AI application that behaves predictably under real production traffic is much harder. Production systems must handle model failures, hallucinations, changing data, long contexts, tool execution, security boundaries, traffic spikes, latency req

AI hallucinations are outputs in which an AI model generates information that is incorrect, unsupported, fabricated, or inconsistent with the available evidence while presenting it as if it were valid. A language model may invent a fact, cite a source that does not exist, produce an incorrect API me