So you’ve heard these AI terms and nodded along; let’s fix that

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A living glossary covering essential AI terminology for anyone who has encountered these terms but never fully understood them. Definitions span foundational concepts like LLMs, neural networks, deep learning, training, and inference, as well as more nuanced terms such as chain-of-thought reasoning, distillation, fine-tuning, RLHF, hallucination, token throughput, validation loss, and RAMageddon. Each entry is written in plain language with analogies to make technical ideas accessible to non-specialists.

18m read timeFrom techcrunch.com
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Table of contents
AGIAI agentAPI endpointsChain of thoughtCoding agentsComputeDeep learningDiffusionDistillationFine-tuningGANHallucinationInferenceLarge language model (LLM)Memory cacheNeural networkOpen sourceParallelizationRAMageddonReinforcement learningTokenToken throughputTrainingTransfer learningWeightsValidation loss
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