A comparison of Clojure with other functional programming languages like Haskell, Scala, and Elixir, highlighting their features, performance, and use cases.
The article discusses how Go can support functional programming paradigms, showcasing techniques like higher-order functions, currying, immutability, pure functions, functors, endofunctors, monoids, and monads through practical examples.
Comparison of 17 LLMs against 4 typed programming languages to determine which excels at what. The article discusses the impact of LLMs on software development and the varying quality of LLM's output in different programming languages.
The article discusses the resurgence of programming languages designed specifically for AI development, highlighting Mojo as a promising example. It explores the historical context of AI-focused languages, the limitations of Python for AI, and the features and benefits of Mojo and other emerging AI languages.
- Demonstrates how to improve two pretrained models' proficiency in the Dafny verified programming language.
- Uses 178 programming problems from the MBPP dataset for prompting GPT-4 and PaLM-2 to generate methods in Dafny.
- Three types of prompts were used: a direct contextless prompt, one that includes a signature of the method and test cases, and a third one that decomposes the problem into steps and includes dynamically chosen similar examples.
- GPT-4 was able to generate verified (and human-evaluated) Dafny methods in 58% of the cases with the third prompt.
- Contributes a collection of 153 MBPP problems implemented and formally verified in Dafny, 50 written by authors and 103 synthesized by GPT-4.
