simpleaichat
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simpleaichat | feeds | |
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22 | 42 | |
3,386 | 690 | |
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8.7 | 8.6 | |
4 months ago | 4 days ago | |
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MIT License | - |
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simpleaichat
- Efficient Coding Assistant with Simpleaichat
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Please Don't Ask If an Open Source Project Is Dead
I checked both the issues mentioned, people have been respectful and showing empathy to author's situation
https://github.com/minimaxir/simpleaichat/issues/91
https://github.com/minimaxir/simpleaichat/issues/92
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We Built an AI-Powered Magic the Gathering Card Generator
ChatGPT's June updated added support for "function calling", which in practice is structured data I/O marketed very poorly: https://openai.com/blog/function-calling-and-other-api-updat...
Here's an example of using structured data for better output control (lightly leveraging my Python package to reduce LoC: https://github.com/minimaxir/simpleaichat/blob/main/examples... )
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LangChain Agent Simulation – Multi-Player Dungeons and Dragons
So what are the alternatives to LangChain that the HN crowd uses?
I see two contenders:
https://github.com/minimaxir/simpleaichat/tree/main/simpleai...
https://github.com/griptape-ai/griptape
There is also the llm command line utility that has a very thin underlying library, but which might grow eventually:
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Custom Instructions for ChatGPT
A fun note is that even with system prompt engineering it may not give the most efficient solution: ChatGPT still outputs the avergage case.
I tested around it and doing two passes (generate code and "make it more efficient") works best, with system prompt engineering to result in less code output: https://github.com/minimaxir/simpleaichat/blob/main/examples...
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The Problem with LangChain
I played around with simpleaichat for a few minutes just now, and I really like it. Unlike LangChain, I can understand what it does in minutes, and it looks like its primitives are fairly powerful. It looks like it's going to replace the `openai` library for me, it seems like a nice wrapper.
I'm especially looking forward to playing with the structured data models bit: https://github.com/minimaxir/simpleaichat/blob/main/examples...
Well done, Max!
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How is Langchain's dev experience? Any alternatives?
https://github.com/minimaxir/simpleaichat bills itself as a simpler alternative to langchain. I have not tried it, but it looks interesting.
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Stanford A.I. Courses
I think you are asking specifically about practical LLM engineering and not the underlying science.
Honestly this is all moving so fast you can do well by reading the news, following a few reddits/substacks, and skimming the prompt engineering papers as they come out every week (!).
https://www.latent.space/p/ai-engineer provides an early manifesto for this nascent layer of the stack.
Zvi writes a good roundup (though he is concerned mostly with alignment so skip if you don’t like that angle): https://thezvi.substack.com/p/ai-18-the-great-debate-debates
Simon W has some good writeups too: https://simonwillison.net/
I strongly recommend playing with the OpenAI APIs and working with langchain in a Colab notebook to get a feel for how these all fit together. Also, the tools here are incredibly simple and easy to understand (very new) so looking at, say, https://github.com/minimaxir/simpleaichat/tree/main/simpleai... or https://github.com/smol-ai/developer and digging in to the prompts, what goes in system vs assistant roles, how you gourde the LLM, etc.
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Where is the engineering part in "prompt engineer"?
This notebook from the repo I linked to is a concise example, and the reason you would want to optimize prompts.
- Show HN: Python package for interfacing with ChatGPT with minimized complexity
feeds
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Show HN: I automated 1/2 of my typing
https://kapeli.com/dash
Somewhat similar tool to Autokey for MacOS that I use as a text expander.
Allows for great customization - appending ; to a phrase ensures you don't accidentally expand a keystroke into a phrase/URL/etc
";url" expands into "whatever string you configure"
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Custom Instructions for ChatGPT
This reminded me that I needed to settle on a good system-wide Snippets manager for MacOS.
Having waded through the morass of buggy and subscription-only services many times in the past, I thought to give the open-source Espanso another go, but its last commit was many months ago and I simply could not get it to recognise Ventura permissions.
It was then that I remembered that the excellent Dash (https://kapeli.com/dash), for which I had already paid a very reasonable one-off fee, has a snippets manager. And it’s perfect.
- Googling for answers costs you time
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How can I find what styles are available as an argument for a modifier?
I use Dash for my API reference, partly because it also has all the other references I need for other languages. It’s easier to paw through when you’ve got exactly this sort of problem.
- [Serious] I don't get why people like Mac and I feel like I'm missing out
- Zeal is an offline documentation browser for software developers
- help me out
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Software Developer Mac Apps
Dash. Look up documentation really fast. Also useful for system wide snippets.
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This sub turned me onto Raycast, but... No syncing of settings / keyboard shortcuts between machines??
Hey, the app I recommend shows you all the commands you need per app not just for macOS! Support for programming languages? Download this. For git, docker and neovim download this one.
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quicklisp-apropos: Apropos across Quicklisp libraries
Some time ago I had a thought that it would be interesting to make something like https://quickref.common-lisp.net/ but in form of docset for [Dash](https://kapeli.com/dash) documentation browser. This will give not only the search, but also a browsable documentation on all Common Lisp packages!
What are some alternatives?
lmql - A language for constraint-guided and efficient LLM programming.
iiab - Internet-in-a-Box - Build your own LIBRARY OF ALEXANDRIA with a Raspberry Pi !
langroid - Harness LLMs with Multi-Agent Programming
devdocs - API Documentation Browser
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
sol - MacOS launcher & command palette
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
nango - A single API for all your integrations.
gchain - Composable LLM Application framework inspired by langchain
zeal - Offline documentation browser inspired by Dash
transynthetical-engine - Applied methods of analytical augmentation to build tools using large-language models.
compress - Text compression for generating keyboard expansions