simpleaichat
griptape
simpleaichat | griptape | |
---|---|---|
22 | 23 | |
3,386 | 1,600 | |
- | 5.4% | |
8.7 | 9.7 | |
4 months ago | about 9 hours ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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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
griptape
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I just had the displeasure of implementing Langchain in our org.
Have you looked at griptape? https://github.com/griptape-ai/griptape
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Getting gnarly with AI - a quick look at Griptape, an enterprise ready alternative to LangChain
From the docs we can see the format of how Griptape Prompt Drivers work, and if we look at the project source code we can see code for Falcon, so there is hope yet!
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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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langchain VS griptape - a user suggested alternative
2 projects | 11 Jul 2023
Griptape is an enterprise alternative to LangChain built by former AWS engineers.
2 projects | 9 Jul 2023Griptape is an enterprise grade alternative to LangChain.
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Is Langchain good for use with data that requires privacy?
Check out Griptape. Keeps the data off prompt by default. To be clear, for things like summary, you’d use a second local model. But it lets you use vendors like openai for the brains / workflow
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How is Langchain's dev experience? Any alternatives?
Check out Griptape. All former AWS engineers. Used by a few auto manufacturers and industrials already. Keeps data off prompt so it’s able to work directly with larger datasets. Abstractions are clean and little to no prompt engineering required.
- GitHub - griptape-ai/griptape: Python framework for AI workflows and pipelines with chain of thought reasoning, external tools, and memory.
What are some alternatives?
lmql - A language for constraint-guided and efficient LLM programming.
langchain - 🦜🔗 Build context-aware reasoning applications
langroid - Harness LLMs with Multi-Agent Programming
langchain - ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain]
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
trafilatura - Python & command-line tool to gather text on the Web: web crawling/scraping, extraction of text, metadata, comments
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
gchain - Composable LLM Application framework inspired by langchain
DB-GPT-Hub - A repository that contains models, datasets, and fine-tuning techniques for DB-GPT, with the purpose of enhancing model performance in Text-to-SQL
transynthetical-engine - Applied methods of analytical augmentation to build tools using large-language models.
langtorch - 🔥 Building composable LLM applications & workflow with Java.