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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 New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

What is the future of Software Engineering in the age of AI? Amjad Masad, Founder & CEO of Replit, and Michele Catasta, head of AI at Replit, provide their take on this in this opening keynote presentation from the AI Engineer Summit 2023.

Recorded live in San Francisco at the AI Engineer Summit 2023. See the full schedule of talks at https://ai.engineer/summit/schedule & join us at the AI Engineer World's Fair in 2024! Get your tickets today at https://ai.engineer/worlds-fair

00:00 Introduction - Amjad Masad 00:42 Historical perspective 02:22 How AI can change software 04:29 ⚠️📢 Announcing AI for all! 06:33 A tale of Code LLM & GPU-Poor - Michele Catasta 07:29 How Replit's code completion works 08:39 ⚠️📢 Announcing Replit's new model! 13:45 ⚠️📢 Announcing the new model is open source! 14:06 Model training 15:26 Model evaluation 17:31 Model data & training 18:45 Model evaluation 19:51 Model inference 22:10 Why open source? 23:10: Glaive AI Collaboration 23:50 Morph Labs Collaboration 24:42: Perplexity Collaboration