Search Results for author: Advait Sarkar

Found 7 papers, 0 papers with code

Solving Data-centric Tasks using Large Language Models

no code implementations18 Feb 2024 Shraddha Barke, Christian Poelitz, Carina Suzana Negreanu, Benjamin Zorn, José Cambronero, Andrew D. Gordon, Vu Le, Elnaz Nouri, Nadia Polikarpova, Advait Sarkar, Brian Slininger, Neil Toronto, Jack Williams

Large language models (LLMs) are rapidly replacing help forums like StackOverflow, and are especially helpful for non-professional programmers and end users.

Will Code Remain a Relevant User Interface for End-User Programming with Generative AI Models?

no code implementations1 Nov 2023 Advait Sarkar

We outline some reasons that traditional programming languages may still be relevant and useful for end-user programmers.

Exploring Perspectives on the Impact of Artificial Intelligence on the Creativity of Knowledge Work: Beyond Mechanised Plagiarism and Stochastic Parrots

no code implementations20 Jul 2023 Advait Sarkar

In this position paper, using examples from literary criticism, the history of art, and copyright law, I show how creativity and originality resist definition as a notatable or information-theoretic property of an object, and instead can be seen as the property of a process, an author, or a viewer.

Position

What is it like to program with artificial intelligence?

no code implementations12 Aug 2022 Advait Sarkar, Andrew D. Gordon, Carina Negreanu, Christian Poelitz, Sruti Srinivasa Ragavan, Ben Zorn

Large language models, such as OpenAI's codex and Deepmind's AlphaCode, can generate code to solve a variety of problems expressed in natural language.

Is explainable AI a race against model complexity?

no code implementations17 May 2022 Advait Sarkar

Explaining the behaviour of intelligent systems will get increasingly and perhaps intractably challenging as models grow in size and complexity.

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