clevercli
parsel
clevercli | parsel | |
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11 | 7 | |
101 | 375 | |
0.0% | - | |
6.5 | 0.0 | |
about 1 year ago | 8 months ago | |
TypeScript | Python | |
MIT License | - |
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clevercli
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Ask HN: How are you using GPT to be productive?
Mostly just asking stuff directly on https://chat.openai.com/chat. Last 5 requests (all successful) were:
- Asked about an idiom I forgot about by saying it in other words.
- Asked it to dumb down some things about options (finance) I didn't understand.
- Asked it if I could use the eBay API to list my purchase history.
- Asked it to generate pretty standard Terms of Service for an app I'm working on.
- Asked it to build a moderately complex Prisma (ORM) query that I described in natural language.
Also, occasionally ask about shell commands using a CLI I wrote[0].
[0] https://github.com/clevercli/clevercli
- Show HN: Chatblade – ChatGPT as first class citizen in the CLI
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Noam Chomsky: The False Promise of ChatGPT
FWIW I made a CLI utility that does this, it saves some typing / copy-pasting. Only made one for Rust and TypeScript now but more languages can be easily added: https://github.com/clevercli/clevercli#built-in-prompts
- clevercli: ChatGPT powered CLI utilities (written in TypeScript)
- clevercli: ChatGPT powered CLI utilities
- clevercli: ChatGPT powered CLI utilities.
- Show HN: A Collection of ChatGPT CLIs
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?
gptel - A simple LLM client for Emacs
chatgpt-arcana.el - Put ChatGPT in your emacs and give yourself arcane powers 🔮
aicmd - A CLI program that allows you to run shell commands using nautral language.
chatgpt-linux-assistant - An ai assistant in your CLI. But it knows what's on your system and can help you get things done.
chatgpt-cli - Simple yet effective command line client for chatting with ChatGPT using the official API
geppetto - Your personal assistant with ChatGPT and Linux superpowers, ready for any task!
refiner - Refiner improves your writing by correcting grammar and style, adjusting tone, and offering formatting options. It is useful for non-native speakers and professionals who communicate with text.
yolo-ai-cmdbot - AI bot that translates your question to a command and executes it yolo style
codegpt - A unixy GPT interface
transynthetical-engine - Applied methods of analytical augmentation to build tools using large-language models.
hey-chatgpt-cli - Hey is a powerful chatbot for the command line CLI that uses ChatGPT to generate commands based on natural language input
datasette-paste-table - Create tables in Datasette by pasting in TSV