laion.ai

By LAION-AI

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laion.ai reviews and mentions

Posts with mentions or reviews of laion.ai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-11-12.
  • Data Quality: The Hidden Driver of AI Success
    4 projects | dev.to | 12 Nov 2024
    Data quality is equally crucial in the world of generative AI, where massive datasets like LAION play a foundational role in training models such as Stable Diffusion. Because the LAION dataset is open, we can see firsthand the types of images that go into shaping these models through websites like haveibeentrained. While it includes a wide variety of visual content, it also brings to light common quality issues: near duplicates, exact duplicates, images lacking meaningful content, and all types of issues in between. These types of issues can lead to memorization, regurgitation, or generation of content which does not match the prompt. Additionally, datasets of this scale sourced from the entire internet can inadvertently include problematic material, like graphic or offensive content, which can influence the outputs of generative models. Such issues highlight the importance of rigorous data curation to ensure models not only generate diverse and creative outputs but also maintain quality and relevance.
  • Impressions from Machine Learning Conference – Munich, June 2023
    1 project | dev.to | 28 Oct 2024
    [5] https://laion.ai/
  • How Open is Generative AI? Part 2
    8 projects | dev.to | 19 Dec 2023
    LAION (Large-scale Artificial Intelligence Open Network), a German non-profit established in 2020, is dedicated to advancing open-source models and datasets (primarily under Apache 2 and MIT licenses) to foster open research and the evolution of benevolent AI. Their datasets, encompassing both images and text, have been pivotal in the training of renowned text-to-image models like Stable Diffusion.
  • How artists are sabotaging AI to take revenge on image generators
    1 project | news.ycombinator.com | 18 Dec 2023
    > there is going to be a "pre-GPT" internet training set from 2022

    Well, yeah, there are several here, and I think all the major image generators are using some combination of them as their starting points: https://laion.ai/

    > As AI increases as an overall % of all online posts and activity it will death spiral on model quality.

    Nope, it will just mean that it will be more expensive to source additional training data on top of the massive trove of existing "clean" (from intentional poisoning) data (much of which isn't perfectly captioned and human work on improving captioning can improve its utility in model training, as can more advanced models with more advanced text encoders, etc.)

    If poisoning was widespread, it wouldn't impact "big model" quality much -- they aren't grabbing new random data on the internet for continuous training. It might drive up the expense of community fine tuning, which often does depend on sourcing representative imagery for target styles or concepts from, among other places, the internet.

  • [D] Why is most Open Source AI happening outside the USA?
    2 projects | /r/MachineLearning | 6 Dec 2023
    Also don't forget https://laion.ai/ from Germany. They focus more on datasets, but still.
  • OpenAI is too cheap to beat
    4 projects | news.ycombinator.com | 12 Oct 2023
    I think the weird thing about this is that it's completely true right now but in X months it may be totally outdated advice.

    For example, efforts like OpenMOE https://github.com/XueFuzhao/OpenMoE or similar will probably eventually lead to very competitive performance and cost-effectiveness for open source models. At least in terms of competing with GPT-3.5 for many applications.

    Also see https://laion.ai/

    I also believe that within say 1-3 years there will be a different type of training approach that does not require such large datasets or manual human feedback.

  • MJ images sources?
    1 project | /r/midjourney | 9 Jul 2023
    Billions. MJ's initial training dataset was from LAION: https://laion.ai/ . Not sure which version, and I am pretty sure additional data has been added since MJ v1, but MJ doesn't release anything more exact. However my guess is: more billions, lol.
  • AI tools apps in one place sorted by category
    5 projects | /r/ChatGPT | 29 May 2023
    Missing LAION and OpenAssistant: https://laion.ai/
  • GPT detectors are biased against non-native English writers
    2 projects | news.ycombinator.com | 22 May 2023
  • Model Suggestions
    1 project | /r/LargeLanguageModels | 9 May 2023
    As far as I am concerned weights of llama are not allowed for commercial use, but if you are willing to do full training and change it's all weights it would probably be fine. There was a discussion on this topic on forums and no one was sure, you can research it. Also you can take a look at laion.ai and dolly from databricks, they are open source and are allowed for commercial use, if they meet your needs.
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