prompt-engineering
murex
prompt-engineering | murex | |
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18 | 55 | |
7,932 | 1,370 | |
1.7% | - | |
5.1 | 9.6 | |
6 months ago | 7 days ago | |
Go | ||
MIT License | GNU General Public License v3.0 only |
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prompt-engineering
- Ask HN: Any good collection of writing prompts for GPT 3.5/4?
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Show HN: LLM Agent Paper List
An agent is a style of prompt that lets LLMs act as reasoning engines. It's also known as the ReAct pattern (which engineers are avoiding using for namespace collision reasions).
You can read a good intro example here: https://github.com/brexhq/prompt-engineering#react
- FLaNK Stack Weekly for 20 June 2023
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What are your long-term career goals?
Well, if developers get replaced by AI, then who are the managers going to manage :). I personally don't think AI is just going to replace us. The way we work will continue to change as new AI tools come out. I'm taking time to tinker with new tools and seeing how others do as well (e.g., I found Brex's tips and tricks for working with LLMs very insightful: https://github.com/brexhq/prompt-engineering).
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A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT
I recognize there's plenty of catnip here when it comes to calling this "engineering" or not, however, whatever you want to call it (prompt fiddling?), the techniques are crucial if you want to achieve reasonably consistent output from current-state LLMs. As models improve concerns about context window limitations will be reduced and it will be easier to discern user intent.
These are good straight-to-the-point guides:
- Prompt Engineering by BrexHQ: https://github.com/brexhq/prompt-engineering
- OpenAI guidance: https://help.openai.com/en/articles/6654000-best-practices-f...
- https://devblogs.microsoft.com/dotnet/gpt-prompt-engineering...
- (great examples): https://www.deeplearning.ai/short-courses/chatgpt-prompt-eng...
tl;dr:
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(2/2) May 2023
Brex's Prompt Engineering Guide (https://github.com/brexhq/prompt-engineering)
- GitHub - brexhq/prompt-engineering: Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
- Brex’s Prompt Engineering Guide
murex
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Show HN: a Rust Based CLI tool 'imgcatr' for displaying images
This is how murex works too https://github.com/lmorg/murex/blob/master/config/defaults/p...
- Xonsh: Python-powered, cross-platform, Unix-gazing shell
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The Bun Shell
I agree. I’ve written about this before but this is what murex (1) does. It reimplements some of coreutils where there are benefits in doing so (eg sed, grep etc -like parsing of lists that are in formats other than flat lines of text. Such as JSON arrays)
Mutex does this by having these utilities named slightly different to their POSIX counterparts. So you can use all of the existing CLI tools completely but additionally have a bunch of new stuff too.
Far too many alt shells these days try to replace coreutils and that just creates friction in my opinion.
1. https://murex.rocks
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Jaq – A jq clone focused on correctness, speed, and simplicity
This is exactly what Murex shell does. It has lots of builtin tools for querying structured data (of varying formats) but also supports POSIX pipes for using existing tools like `jq` et al seamlessly too.
https://murex.rocks
- Murex rocks v5 is out
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The Case for Nushell
Stable is a problem because a lot of these shells don’t offer any guarantees for breaking changes.
My own shell, https://github.com/lmorg/murex is committed to backwards compatibility but even here, there are occasional changes made that might break backwards compatibility. Though I do push back on such changes as much as possible, to the extent that most of my scripts from 5 years ago still run unmodified.
- Murex
- FLaNK Stack Weekly for 20 June 2023
- Show HN: A smarter Unix shell and scripting environment
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Nushell.sh ls – where size > 10mb – –sort-by modified
This is similar to how my shell works. It still just passes bytes around but additionally passes information about how those bytes could be interpreted. A schema if you will. So it works as cleanly with POSIX / GNU / et al tools as it does with fancy JSON, YAML, CSV and other document formats.
It basically sits somewhere between Powershell and Bash: typed pipelines like Powershell but without sacrificing familiarity with all the CLI commands you already use day in and day out.
https://github.com/lmorg/murex
As an aside, I’m about to drop a massive update in the next few days that will make the shell even more intuitive to use.
What are some alternatives?
promptfoo - Test your prompts, models, and RAGs. Catch regressions and improve prompt quality. LLM evals for OpenAI, Azure, Anthropic, Gemini, Mistral, Llama, Bedrock, Ollama, and other local & private models with CI/CD integration.
elvish - Powerful scripting language & Versatile interactive shell
Prompt-Engineering-Guide - 🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
nushell - A new type of shell
FinGPT - FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
tidy-viewer - 📺(tv) Tidy Viewer is a cross-platform CLI csv pretty printer that uses column styling to maximize viewer enjoyment.
tree-of-thoughts - Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%
fx - Terminal JSON viewer & processor
chathub - All-in-one chatbot client
jc - CLI tool and python library that converts the output of popular command-line tools, file-types, and common strings to JSON, YAML, or Dictionaries. This allows piping of output to tools like jq and simplifying automation scripts.
canal - 阿里巴巴 MySQL binlog 增量订阅&消费组件
xonsh - :shell: Python-powered, cross-platform, Unix-gazing shell.