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Building A ChatGPT-enhanced Python REPL

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 on...
Langchain Prompttemplate Software Engineering Large Language Models Chat Model Chat Models Langchain Code Generation

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Researchers develop speedier network analysis for a range of computer hardware

Advance could boost recommendation algorithms and internet searches Researchers develop advance that could boost recommendation algorithms and internet searches. March 9, 2021 Graphs -- data structures that show relationships among objects -- are highly versatile. Its easy to imagine a graph depicting a social media networks web of connections. But graphs are also used in programs as diverse as content recommendation (what to watch on Netflix?) and navigation (whats the quickest route to the be...
Almadena Chtchelkanova Ajay Brahmakshatriya International Symposium On Code Generation Research News Massachusetts Institute Of Technology Us National Science Foundation
Source: nsf.gov

Researchers develop speedier network analysis for a range of computer hardware

 E-Mail Graphs -- data structures that show the relationship among objects -- are highly versatile. Its easy to imagine a graph depicting a social media networks web of connections. But graphs are also used in programs as diverse as content recommendation (what to watch next on Netflix?) and navigation (whats the quickest route to the beach?). As Ajay Brahmakshatriya summarizes: "graphs are basically everywhere." Brahmakshatriya has developed software to more efficiently run graph application...
Saman Amarasinghe Changwan Hong Ajay Brahmakshatriya Daniel Ackerman Artificial Intelligence Laboratory National Science Foundation

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