simpleAI
feste
simpleAI | feste | |
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11 | 2 | |
323 | 37 | |
- | - | |
7.3 | 4.3 | |
12 months ago | about 1 year ago | |
Python | Python | |
MIT License | Apache License 2.0 |
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simpleAI
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[P] I got fed up with LangChain, so I made a simple open-source alternative for building Python AI apps as easy and intuitive as possible.
Not related to my own project SimpleAI despite the name, but looks like we can easily make the two work together, to keep it « simple ». Nice work!
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Run and create custom ChatGPT-like bots with OpenChat
Using this as an opportunity to mention my own related project, perhaps it can end up on your nice list one day. :)
https://github.com/lhenault/SimpleAI
- [D] OpenAI API vs. Open Source Self hosted for AI Startups
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StableLM released
You could have a look at a project I’ve been working on, SimpleAI, doing exactly this by replicating the OpenAI endpoints (you can then use their JS client for integration). Adding StableLM should be straightforward, I plan to add it to the examples in the upcoming days once I have a bit of time.
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[P] LoopGPT: A Modular Auto-GPT Framework
I’ve built SimpleAI with exactly these kinds of use cases in mind. That should allow supporting any model with minimal / no change to your project. Good job and good luck with LoopGPT, that looks nice!
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Using the API in Node
You could give this a shot: https://github.com/lhenault/simpleAI
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[D] Would a Tesla M40 provide cheap inference acceleration for self-hosted LLMs?
I don't know if this applies to your use case but this would probably work if you are looking for an llm to help with programming. Haven't really played around with it but this may work for general llm tasks, it doesn't have a web UI though.
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Alpaca, LLaMa, Vicuna [D]
As per llama.cpp specifically, you can indeed add any model, it's just a matter of doing a bit of glue code and declaring it in your models.toml config. It's quite straightforward thanks to some provided tools for Python (see here for instance). For any other language it's a matter of integrating it through the gRPC interface (which shouldn't be too hard for Llama.cpp if you're comfortable in C++). I'm planning to also add support for REST for model in the backend at some point too.
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[D] Is there currently anything comparable to the OpenAI API?
Shameless plug but I’ve been recently working on SimpleAI, a project replicating the main endpoints from OpenAI API, allowing you to seamlessly switch from their API to your own one, as it’s compatible with OpenAI client.
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[P] SimpleAI : A self-hosted alternative to OpenAI API
I wanted to share with you SimpleAI, a self-hosted alternative to OpenAI API.
feste
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[P] I got fed up with LangChain, so I made a simple open-source alternative for building Python AI apps as easy and intuitive as possible.
Agree, I do think though that for real deployment you need to reduce latency and be able to observe things and debug. This is what is missing, that's why I started Feste that build a lazy graph of calls and then optimize to use the batching API (when available) and also dispatch them in multiple processes.
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[P] Feste, an open-source framework to optimize and parallelize NLP tasks
Github: https://github.com/perone/feste
What are some alternatives?
OpenChat - LLMs custom-chatbots console ⚡
panml - PanML is a high level generative AI/ML development and analysis library designed for ease of use and fast experimentation.
dalai - The simplest way to run LLaMA on your local machine
lmql - A language for constraint-guided and efficient LLM programming.
AlpacaDataCleaned - Alpaca dataset from Stanford, cleaned and curated
agency - Agency: Robust LLM Agent Management with Go
gptcli - ChatGPT in command line with OpenAI API (gpt-3.5-turbo/gpt-4/gpt-4-32k)
guidance - A guidance language for controlling large language models. [Moved to: https://github.com/guidance-ai/guidance]
StableLM - StableLM: Stability AI Language Models
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
loopgpt - Modular Auto-GPT Framework
simpleaichat - Python package for easily interfacing with chat apps, with robust features and minimal code complexity.