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Maximizing the Utility of Large Language Models (LLMs) through Prompting
In this article, authors Numa Dhamani and Maggie Engler discuss how prompt engineering techniques can help use the large language models (LLMs) more effectively to achieve better results. Prompting techniques discussed include few-shot, chain-of-thought, self-consistency, and tree-of-thoughts prompting.
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AI-Based Prose Programming for Subject Matter Experts: Will This Work?
In this article, author Markus Völter discusses the future of programming using Large Language Model (LLM) tools like ChatGPT and GitHub’s Copilot for prose-to-code generation. He also talks about what new approaches and language changes need to be in place to help non-programmers take advantage of the "program in prose" techniques.
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Creating Your Own AI Co-Author Using C++
While using ChatGPT through a web interface is one thing, creating your own autonomous AI tool that interfaces with ChatGPT via its API is a different story altogether. As strong proponents of C++, in this article we are going to present a GPT tool written in C++ to ease the pain of dealing with the daunting task of editing endless editorial comments.
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InfoQ Software Architecture and Design Trends Report - April 2023
This article provides an overview of how the InfoQ editorial team sees the Software Architecture and Design topic evolving in 2023, with a focus on what architects are designing for today.
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InfoQ Culture & Methods Trends Report - March 2023
The two biggest factors influencing organisational culture in early 2023 are the highly publicised and hugely disruptive layoffs across the tech industry and the emergence of Large Language Models such as ChatGPT.