Large Language Models in Supply Chain with Rinat Abdullin Ep 152











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Full transcript available: https://www.lokad.com/tv/2023/12/13/l... • In a recent dialogue, Conor Doherty of Lokad conversed with Joannes Vermorel and Rinat Abdullin about generative AI's impact on supply chains. Vermorel, Lokad's CEO, and Abdullin, a technical consultant, discussed the evolution from time series forecasting to leveraging Large Language Models (LLMs) like ChatGPT. They explored LLMs' potential to automate tasks, enhance productivity, and assist in data analysis without displacing jobs. While Vermorel remained cautious about LLMs in planning, both acknowledged their utility in composing solutions. The interview underscored the transformative role of AI in supply chain management and the importance of integrating LLMs with specialized tools. • ****** • Timestamps: • 00:00:00: Introduction to the interview • 00:01:00: Rinat's Lokad journey and supply chain challenges • 00:03:59: Lokad's evolution and simulation insights • 00:07:07: Simulation complexities and agent-based decisions • 00:09:15: Introducing LLMS and simulation optimizations • 00:11:18: ChatGPT's impact and model categories • 00:14:14: LLMs as cognitive tools in enterprises • 00:17:10: LLMs enhancing customer interactions and listings • 00:20:30: LLMs' limited role in supply chain calculations • 00:23:07: LLMs improving communication in supply chains • 00:27:49: ChatGPT's role in data analytics and insights • 00:32:39: LLMs' text processing and quantitative data challenges • 00:38:37: Refining enterprise search and closing AI insights • ****** • Check out our website: https://www.lokad.com/ • Follow us on LinkedIn:   / lokad   • Read our blog: https://blog.lokad.com/ • ******

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