OpenAdapt VS adept-inference

Compare OpenAdapt vs adept-inference and see what are their differences.

OpenAdapt

AI-First Process Automation with Large ([Language (LLMs) / Action (LAMs) / Multimodal (LMMs)] / Visual Language (VLMs)) Models (by OpenAdaptAI)

adept-inference

Inference code for Persimmon-8B (by persimmon-ai-labs)
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OpenAdapt adept-inference
25 3
538 412
48.3% 0.5%
9.3 4.9
3 days ago 8 months ago
Python Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

OpenAdapt

Posts with mentions or reviews of OpenAdapt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-29.

adept-inference

Posts with mentions or reviews of adept-inference. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-08.
  • Adept
    1 project | /r/houseofincome | 11 Nov 2023
  • Using GPT-4 Vision with Vimium to browse the web
    9 projects | news.ycombinator.com | 8 Nov 2023
    Ah, very similar to Adept’s[1] concept? Though, their product seems not yet ready.

    [1] https://www.adept.ai/

  • Releasing Persimmon-8B
    1 project | news.ycombinator.com | 7 Sep 2023
    https://github.com/persimmon-ai-labs/adept-inference/issues/...

    It’s funny you say production, because all of the errors I ran into suggest the container is expecting your production architecture.

    My advice is stream first then make synchronous convenience wrappers on top of that. Also, lean on community standards for PoC. I’m guess your investors are interested in making this scale as cheaply as possible, but that is probably the least important feature for people evaluating your model’s quality locally.

What are some alternatives?

When comparing OpenAdapt and adept-inference you can also consider the following projects:

ios-mail - Secure email that protects your privacy

vimGPT - Browse the web with GPT-4V and Vimium

CogVLM - a state-of-the-art-level open visual language model | 多模态预训练模型

LLaVA - [NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

IfcOpenShell - Open source IFC library and geometry engine

GPT-V-on-Web - 👀🧠 GPT-4 Vision x 💪⌨️ Vimium = Autonomous Web Agent

strawberry - A GraphQL library for Python that leverages type annotations 🍓

vim-agent

obsidian-releases - Community plugins list, theme list, and releases of Obsidian.