Label Studio

Label Studio

Open Source Data Labeling Platform for AI Model Tuning

5.0•1 review•

421 followers

Visit website
•
•
Label Studio is an open source data labeling tool that supports multiple projects, users and data types in one platform. Label Studio can perform different types of labeling with many data formats and integrate with M/L backends.
Label Studio 1.8.0 Release gallery image
Label Studio 1.8.0 Release gallery image
Label Studio 1.8.0 Release gallery image
Label Studio 1.8.0 Release gallery image
Label Studio 1.8.0 Release gallery image
Label Studio 1.8.0 Release gallery image
Label Studio 1.8.0 Release gallery image
Label Studio 1.8.0 Release gallery image
Free
Launch tags:Open Source•Artificial Intelligence•Data Science
Launch Team
Intercom
Intercom
Startups get 90% off Intercom + 1 year of Fin AI Agent free
Promoted

What do you think? …

Mark Hinkle
Marketing Machines
Hunter
📌
I am very excited to see LabelStudio reach their 1.8 milestone. I think having high quality open source tools that helps make us humans more effective at fine-tuning LLMs like LLaMA and other foundation models is important as we pull our data in to our enterprise specific AI brains.
Irina Haupt
Collato
Congrats on the launch! 🚀 This looks so cool! How do you facilitate the process of fine-tuning LLMs?
Erin Mikail Staples
Label Studio
Maker
@irina_haupt Good question, Irina! Label Studio is a data labeling platform that allows data scientists to fine-tune LLMs through human-in-the-loop-style retraining or RLHF retraining. To put it simply — this is the "interface" where one can provide feedback to the model and coach it to better fit your needs. You can read more about model retraining with Label Studio here: https://labelstud.io/blog/human-... or check out a demo on our GitHub here: https://github.com/heartexlabs/RLHF
Irina Haupt
Collato
@erinmikail Thanks for clarifying! Love the fact that you incorporate a human aspect into the training process - sounds like the best of both worlds!
Nate Kartchner
💎 Pixel perfection
Hey Product Hunt! Generative AI and large language models like ChatGPT and LLaMa have brought innovations in machine learning and new MLOps processes. The need for enhanced tooling to leverage these models to build domain-specific applications is growing rapidly. That's why, with our 1.8.0 release of Label Studio, we’ve made the process of fine-tuning LLMs and foundation models even easier. 💪🏻🚀 Some of the new features we're excited about in this release Include: 🆕 Ranker Interface Label Studio now has a new, improved interface designed for ranked choice model retraining. This Ranker interface is designed to work with ranking models that predict a relevance score. This brings an updated tag that can be configured to evaluate and compare responses. 🆕 Generative AI Templates We’re introducing new labeling templates specifically designed for generative AI! Check out the templates for: * Supervised language model fine-tuning * Human preference collecting for RLHF * Chatbot model assessment * LLM Ranker * Visual ranker 🚀 Interface Improvements We've added side panel updates to better display important details about what you’re annotating, including relations, comments, and history. There's a new annotations tab carousel that allows you to view all annotations simultaneously! We've relocated the control button panel for an improved workflow. Thanks for checking us out!
Sarah Harris
@nate_kartchner features look incredibly promising. The advancements in generative AI and large language models are transforming the way we handle machine learning tasks, and Label Studio seems to be keeping pace with these advancements brilliantly. The new Ranker Interface stands out as a significant upgrade, promising a more intuitive and effective way to retrain ranking models. The potential it offers in terms of evaluating and comparing responses is something I'm looking forward to exploring.
Nate Kartchner
@sarah_harris5 Thanks so much! It's pretty exciting to see the ways in which foundation models are changing the way machine learning operations are run. Human feedback will always have value, but we've already seen the ways in which it's valuable to machine learning change, and I expect it will continue to do so. Our goal is to keep developing to make sure that we keep up with that. :) Enjoy your explorations with Ranker - we'd love to get your feedback as you do so!
Olle Pridiuksson
QA.tech
if @erinmikail is on the team, then Label Studio is defo the one to try
Mark Hinkle
Marketing Machines
Hunter
@erinmikail @iwozik Olle she's definitely
Erin Mikail Staples
Label Studio
Maker
@iwozik ❤️ Much love back at you Olle! Honored to know you and to have collaborated with you! I see a llthe work that you're doing with GameDev and rooting you on all the way!
Vlad Zivkovic
Congratulations on your launch Mark and the team at Label Studio! 🚀🚀🚀
Mark Hinkle
Marketing Machines
Hunter
@vladimir_zivkovic Thanks @vladimir_vojvodic, much appreciated. I just hunted it the Label Studio team are killers!
Sergei Zotov
💎 Pixel perfection
Whoa, this is a gift for me. Going to research a lot of open-source LLMs soon + had a very positive experience with previous versions of LS. Congrats on the launch!
Erin Mikail Staples
Label Studio
Maker
@zot Thanks so much — I'm glad you enjoyed previous LS versions! Excited to see what you create!
Nuno Reis
I keep saying this, but with so many application level software coming out, the software that really helps develop the platform level like yours will be key. Congrats on the launch and keep it up! 🚀
Erin Mikail Staples
Label Studio
Maker
@nuno_ms_reis Thanks a ton! We're excited to see the future of Label Studio and to support builders like you!
123
Next
Last