Technical skill · Data, analytics & AI

Large language models (LLMs) developers

Large language models are machine-learning systems trained on extensive text and other data to understand and generate sequences. They can support search, extraction, classification, summarisation, coding and conversational interfaces, but their outputs remain probabilistic.

Building useful applications with LLMs requires more than calling a model: developers must design context, retrieval, evaluation, safeguards, latency and cost controls. Understanding limitations such as hallucination and bias is essential to building trustworthy features. Companies using Large language models (LLMs) include Morgan Stanley ↗, Duolingo ↗.

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