Amjad Masad, CEO: I'm excited to welcome Michele Catasta to the Replit team as our VP of AI. Michele joins us from Google, where he was Head of Applied Research at Google Labs and, before that, Google X, where he researched Large Language Models applied to code. Michele has a Ph.D. in Computer Science and was Research Scientist and Instructor in AI at Stanford University. This manifesto is a culmination of a conversation Michele and I have had for over a year on the future of AI and its impac...| Replit Blog
In this blog I share my experience in building a Python REPL augmented with ChatGPT. I explore how the application is built, and speculate on software engineering patterns and paradigms that might emerge in systems built on Large Language Models (LLMs). GEPL - Generate, Evaluate, Print, Loop Link to this section Introduction The Lisp programming language made REPLs (Read, Evaluate, Print, Loop) famous. REPLs are interactive programming environments where the programmer gets immediate feedback...| isthisit.nz
"Prompt Engineering" emerged from the growth of language models to describe| Mitchell Hashimoto
