Remove 2028 Remove LLM Remove Prompt Engineering
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Unpacking the NLP Summit: The Promise and Challenges of Large Language Models

John Snow Labs

The recent NLP Summit served as a vibrant platform for experts to delve into the many opportunities and also challenges presented by large language models (LLMs). billion by 2028, LLMs play a pivotal role in this growth trajectory. Using this metadata builds confidence in LLM systems and spurs faster adoption.”

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Beyond Expectations: AI Agents and the Next Chapter of Work

Unite.AI

billion USD in 2023 and are estimated to register a CAGR of over 43% between 2023 and 2028, reaching 28.5 If an LLM has a hallucination rate of even just 0.1% The future will no longer be one of rote step by step process description or complicated prompt engineering for processes.

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