Join us for our upcoming webinar next Thursday (10/17) where Labelbox experts will share their scientific approach to analyzing data quality and producing high-quality, trustworthy training data. Topics we'll dive into: 📈 How to use real-time metrics for measuring data quality, including precision and accuracy 🛠️ Ways to implement strategies for optimizing operational efficiency while maintaining high data quality standards ⭐️ Best practices on analyzing and building an effective team for data rating, with insights on how to identify “star” labelers RSVP today and see you there!
Labelbox
Software Development
San Francisco, California 19,563 followers
The data factory for the next GenAI.
About us
Labelbox is the data factory for the next GenAI from leading AI labs and AI-powered enterprises. Innovate faster using Labelbox’s on-demand expert labeling services and unified software to deliver high-quality, differentiated data with control and speed.
- Website
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https://labelbox.com/
External link for Labelbox
- Industry
- Software Development
- Company size
- 51-200 employees
- Headquarters
- San Francisco, California
- Type
- Privately Held
- Founded
- 2018
Locations
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Primary
510 Treat Ave
San Francisco, California 94110, US
Employees at Labelbox
Updates
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Labelbox reposted this
Still on the hunt for the ideal coding side gig? As an Alignerr, you can code from anywhere in the world and earn up to $60/hr. 🌍 🔗 Ready to code with us? Apply at https://www.alignerr.com/
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Today, we're excited to introduce the release of Labelbox leaderboards - an innovative and scientific process for ranking multimodal AI models that goes beyond conventional benchmarks. Our approach delivers structured evaluations on subjective AI model outputs using human experts and a rigorous process that provides detailed feature-level metrics and multiple ratings. Check out the first set of leaderboards now available for image generation, speech generation, and video generation. We'd love to hear your feedback and suggestions on specific models to include, and we're excited to drive the field toward more meaningful, human-aligned progress that truly captures the capabilities of next-generation AI models.
Labelbox leaderboards: Redefining AI evaluation with private, transparent, and human-centric assessments
labelbox.com
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Labelbox reposted this
In pursuit of AGI and beyond, data quality is not just a checkbox for frontier AI labs—it's the cornerstone of innovation and a critical competitive advantage. The quality of training data determines the success or failure of these cutting-edge models. Take an exclusive look inside Labelbox data factory powering frontier AI models you are likely using. https://lnkd.in/gfADnWzx
Inside the data factory: How Labelbox produces the highest quality data at scale
labelbox.com
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Excited to announce a brand new look-and-feel to our chat arena style capabilities in the Labelbox platform. Key updates now available to all customers include: ⚖️ A simplified layout for model response comparison. 💬 Quick access to per-message classifications and guided navigation based on your custom ontologies. 🔎 Clear identification of any missed labeling tasks, and more. These enhancements will empower frontier model builders and enterprise AI teams with the ability to rapidly evaluate models and generate high-quality, multimodal datasets for critical AI post-training tasks, including RLHF/DPO, SFT, and red teaming.
Improve multimodal evaluations with enhanced arena style experience
labelbox.com
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Labelbox reposted this
Reasoning in model like OpenAI O1 is taught, evaluated and improved by data. An essential component of it is human data, where human experts solve complex problems by demonstrating reasoning in logical steps.
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Labelbox reposted this
Many AI teams are now starting to focus on data quality. Last year, everyone operated in a frenzy to catch up to OpenAI. Now that model capabilities are generally the same; the focus has turned towards improving user engagement and retention and targeting model improvements to serve the first goal. And a lot of it will come from improving data quality.
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Labelbox’s Python SDK provides AI teams with a powerful approach for orchestrating human data labeling projects. In our latest guide, we’ll walk through how to harness the Python SDK to manage human data labeling jobs for RLHF and evaluation. With just a few steps you can set up the SDK to: ⎆ Easily import a wide-rang of data types. 🚀 Launch, monitor, and export labeling projects programmatically. 👑 Ensure data quality with access to labelers with specialized knowledge, including medical experts, language specialists and other certified specialties.
Programmatically launch human data jobs for RLHF and evaluation
labelbox.com
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Labelbox reposted this
Text-to-Speech (TTS) models are essential tools in today’s digital world, enhancing everything from accessibility to customer service automation. Our latest guide offers a deep dive into evaluating the top TTS models, including Google TTS, Amazon Web Services (AWS) Polly, and OpenAI, using key metrics like Word Error Rate (WER) and human preference ratings. Discover how we thoroughly assessed these models across various dimensions, including speech naturalness, pronunciation accuracy, and context awareness, to help you choose the best solution for your needs. Whether you’re generating voiceovers or automating customer interactions, our comprehensive guide provides the insights you need to elevate your TTS projects. 🔗 Link: https://lnkd.in/e5ZVrb8h #genai #labeling #evaluation #llm #llmops #texttospeech #tts #googletts #aws #awspolly #openai
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Developing high-quality Retrieval-Augmented Generation (RAG) applications can be challenging, especially when it comes to evaluating the accuracy of responses. Our latest blog post explores a metrics-based approach to RAG development, focusing on key evaluation metrics like context recall and context precision. We dive deep into the process of generating ground truth data, both manually and synthetically, and how these methods impact the reliability of your RAG models. By leveraging the Labelbox platform, you can optimize your RAG applications, improving everything from chunking strategies to embedding models. Link: https://lnkd.in/exEbvxZ6 #rag #retrievalaugmentedgeneration #llms #llmops