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DataFramed

DataFramed

Technology

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

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

2024-07-02
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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.

Links Mentioned in the Show:

  • Rewatch Session from RADAR: AI Edition

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