simpleaichat
langchainjs
simpleaichat | langchainjs | |
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22 | 12 | |
3,386 | 10,981 | |
- | 3.8% | |
8.7 | 9.9 | |
4 months ago | 4 days ago | |
Python | TypeScript | |
MIT License | 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 β 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 donβt 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
langchainjs
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On the unpredictable nature of LLM output and type safety in LangChain TS
*** all code examples are using LangChain TS on the main branch on September 22nd, 2023 (roughly version 0.0.153).
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Moving from Typescript and Langchain to Rust and Loops
At the time of the prototype's development, the Langchain GitHub loader sent one request per file to fetch the repository sequentially, leading to prolonged download times. In our case about 2 minutes for the insights.opensauced.pizza repository. This issue was later resolved in hwchase17/langchainjs#2224, enabling parallel requests for faster retrieval.
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ai-utils.js VS langchainjs - a user suggested alternative
2 projects | 26 Jul 2023
Another llm orchestration library for js/ts
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Ai personal assistant with long term memory?
You will probably need to create a custom agent with custom tools to do what you want to do. Look at Langchain (seems like there is an open PR for Google calendar tools here: https://github.com/hwchase17/langchainjs/pull/1777). There are a lot of great integration examples on their website (including for vectorDB memory https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory)
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Building A Chat GPT Clone With Strapi Open AI and LangChain with Next JS 13 Frontend
You can checkout there docs (here)[https://js.langchain.com/docs/].
- Show HN: Python package for interfacing with ChatGPT with minimized complexity
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Is there any project on langchain with scala
The strategy I tried, was to point scalablytyped, at langchainJS.
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open-source app helps you brainstorm BANGER TWEETS
TL;DR the BANGER TWEET BRAINSToRMER π₯ π¦ π§ is an open-source, fullstack React/Express/Postgres/Pinecone app that brainstorms new ideas and tweet drafts based on your own notes/ideas and the tweets of your favorite twitter users. This isn't a bot, but you can think of it rather as your personal twitter intern that monitors current twitter **trends**, keeps note of your **ideas**, helps you **brainstorm** new ones, and write **draft** tweets. It's your job to find and edit the best ideas before saving them to your personal notes database or tweeting them out from the app itself. it uses pg-boss cron jobs via Wasp, OpenAI, langChain, and Pinecone for the vector store https://github.com/vincanger/twitter-brainstorming-agent
- Paid AI to train on company docs?
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MongoDB and Generative AI
It is not great. It has a lot of limitations, but can be used under certain conditions. https://github.com/hwchase17/langchainjs/pull/655
What are some alternatives?
lmql - A language for constraint-guided and efficient LLM programming.
modelfusion - The TypeScript library for building AI applications.
langroid - Harness LLMs with Multi-Agent Programming
instructor - structured outputs for llms
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
Converter - Typescript to Scala.js converter
semantic-kernel - Integrate cutting-edge LLM technology quickly and easily into your apps
chatgpt-localfiles - Make local files accessible to ChatGPT
gchain - Composable LLM Application framework inspired by langchain
ort - A Rust wrapper for ONNX Runtime
transynthetical-engine - Applied methods of analytical augmentation to build tools using large-language models.
app - π Insights into your entire open source ecosystem.