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#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs

#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs

Released Tuesday, 2nd July 2024
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#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs

#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs

#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs

#221 [Radar Recap] The Future of Programming: Accelerating Coding Workflows with LLMs

Tuesday, 2nd July 2024
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From data science to software engineering, Large Language Models (LLMs) have emerged as pivotal tools in shaping the future of programming. In this session, Michele Catasta, VP of AI at Replit, Jordan Tigani, CEO at Motherduck, and Ryan J. Salva, VP of Product at GitHub, will explore practical applications of LLMs in coding workflows, how to best approach integrating AI into the workflows of data teams, what the future holds for AI-assisted coding, and a lot more.

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DataFramed

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Welcome to DataFramed, a weekly podcast exploring how artificial intelligence and data are changing the world around us. On this show, we invite data & AI leaders at the forefront of the data revolution to share their insights and experiences into how they lead the charge in this era of AI. Whether you're a beginner looking to gain insights into a career in data & AI, a practitioner needing to stay up-to-date on the latest tools and trends, or a leader looking to transform how your organization uses data & AI, there's something here for everyone.Join co-hosts Adel Nehme and Richie Cotton as they delve into the stories and ideas that are shaping the future of data. Subscribe to the show and tune in to the latest episode on the feed below.

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