apps
parsel
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apps
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[R] Measuring Coding Challenge Competence With APPS. GPT fine-tuned on problems from educational coding websites and GitHub can pass approximately 15% of the test cases of introductory problems.
Thread from one of the authors and GitHub repo for the project including the dataset: https://github.com/hendrycks/apps
parsel
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ChatGPT-Linux-Assistant
Parsel : A (De-)compositional Framework for Algorithmic Reasoning with Language Models
https://arxiv.org/abs/2212.10561
Here's a notebook with an introduction:
https://github.com/ezelikman/parsel/blob/main/parsel.ipynb
And here's a GUI interface the author has been developing:
http://zelikman.me/parsel/interface.html
I've been working on an augmented large language model that given these few-shot exemplars can build the below fully-functional ToDo App: ==
https://github.com/williamcotton/transynthetical-engine/tree...
https://www.williamcotton.com/articles/junie-browser-builder...
All of this is still very rough around the edges, prone to errors of various kinds, and generally not ready for prime time, but anyone is welcome to play around with what is there!
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We're never getting rid of ChatGPT
I agree. My goal, which seems very achievable from my current research, is to write formal specifications in English and generate functioning code.
One of my favorite recent projects is called Parsel:
Parsel : A (De-)compositional Framework for Algorithmic Reasoning with Language Models
https://arxiv.org/abs/2212.10561
Here's a notebook with an introduction:
https://github.com/ezelikman/parsel/blob/main/parsel.ipynb
And here's a GUI interface the author has been developing:
http://zelikman.me/parsel/interface.html
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[R] Parsel: A (De-)compositional Framework for Algorithmic Reasoning with Language Models - Stanford University Eric Zelikman et al - Beats prior code generation sota by over 75%!
Another is, "why design a new language instead of writing this as, e.g., a Python library?" My response is we did. Internally, Parsel is in Python, and a "Function" class already exists - you can find it on GitHub. Still, you need a process to generate implementations and select one satisfying the constraints, which we call the compiler.
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Parsel: A (De-)compositional Framework for Algorithmic Reasoning with Language Models - Stanford University Eric Zelikman et al - Beats prior code generation sota by over 75%!
We made this available here!: https://github.com/ezelikman/parsel
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Researchers at Stanford Introduce Parsel: An Artificial Intelligence AI Framework That Enables Automatic Implementation And Validation of Complex Algorithms With Code Large Language Models LLMs
👉 For code language models, every token is a new chance to break a program. What if LLMs wrote code like people, decomposing programs into solvable parts? They can solve competition-level coding problems by writing natural language programs in Parsel, beating prior SoTA by >75%! Quick Read: https://www.marktechpost.com/2023/01/29/researchers-at-stanford-introduce-parsel-an-artificial-intelligence-ai-framework-that-enables-automatic-implementation-and-validation-of-complex-algorithms-with-code-large-language-models-llms/ Paper: http://zelikman.me/parselpaper/parsel\_paper.pdf Github: https://github.com/ezelikman/parsel 🚀 Stay up-to-date on the latest AI news in just 3 minutes with our daily digest. Join a community of thousands of AI professionals and stay informed: https://marktechpost-newsletter.beehiiv.com/
What are some alternatives?
Popper - An inductive logic programming system
chatgpt-arcana.el - Put ChatGPT in your emacs and give yourself arcane powers 🔮
chatgpt-linux-assistant - An ai assistant in your CLI. But it knows what's on your system and can help you get things done.
geppetto - Your personal assistant with ChatGPT and Linux superpowers, ready for any task!
yolo-ai-cmdbot - AI bot that translates your question to a command and executes it yolo style
clevercli - ChatGPT powered CLI utilities. Easily add new prompt types in ~/.clevercli/
transynthetical-engine - Applied methods of analytical augmentation to build tools using large-language models.