🚀 Introducing Review Sampling at Datasaur! 🔍 Our latest feature, Review Sampling, allows you to focus on a specific subset of your data for review. Track your progress and ensure every detail is covered without the overwhelm. 🔑 Key Benefits: - Review and focus on a specific portion of your data. - Easily track your progress and stay on top of your review tasks. Managing large datasets just got easier! #datasaureatstheworld #nlp #labeling
Datasaur
IT Services and IT Consulting
San Francisco Bay Area, California 2,579 followers
Datasaur creates the most intelligent, efficient and productive tools for all your data labeling needs.
About us
Humans evolved through the creation of tools. Come use the best tools for your data labeling needs.
- Website
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http://www.datasaur.ai
External link for Datasaur
- Industry
- IT Services and IT Consulting
- Company size
- 51-200 employees
- Headquarters
- San Francisco Bay Area, California
- Type
- Privately Held
- Founded
- 2019
Products
Datasaur Text Labeling
Data Labeling Platforms
Datasaur sets the standard for best practices in data labeling and extracts valuable insights from raw data. The most comprehensive data labeling software in the industry. - Automated Intelligence - Workflow Management - Data Privacy
Locations
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Primary
San Francisco Bay Area, California, US
Employees at Datasaur
Updates
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🎉 Great news! You can now automatically answer multiple questions about your data, simultaneously! Our ML-Assisted Labeling feature now supports multiple input columns, allowing you to incorporate data from various columns and enhance your model's accuracy and overall performance. Find out how easy this is to do and head over to our platform to experience it yourself—all for free! 🚀 #MachineLearning #DataScience #Datasaur #AI #TechInnovation
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OpenAI just dropped a game-changer: GPT-4o Mini, their new, cost-efficient small model. It's fast, efficient, and surprisingly powerful given its size. Curious about how it performs? It’s available FREE right now on Datasaur LLM Labs! Compare GPT-4o Mini's performance, speed, and cost against GPT-4o, Llama 3, and other LLMs. We're talking real-world comparisons, so you can make the best decision for your needs. Ready to dive in? ➡️ Sign up for Datasaur LLM Labs today: llm.datasaur.ai/sign-up Don't miss out on this revolutionary new model! 🔥
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Datasaur is proud to announce a significant enhancement to our LLM Labs product, now fully integrated with Amazon Bedrock. This strategic collaboration marks a pivotal advancement in AI development efficiency and cost-effectiveness. Key features of the enhanced LLM Labs include: - Up to 70% reduction in AI project costs - Comprehensive comparison of 200+ foundation models - Seamless switching between leading LLMs (Claude 3.5 Sonnet, Llama 3, GPT-4) - Optimized performance without vendor lock-in - Future-proofing against model drift As an AWS Partner Network (APN) member, we're committed to empowering organizations with cutting-edge AI solutions. This integration enables businesses of all sizes to harness the full potential of AI while maintaining control over costs and performance. We invite you to explore how Datasaur’s LLM Labs can transform your AI initiatives. Contact our team to learn more about optimizing your AI development process. https://lnkd.in/dxx-YVTt #ArtificialIntelligence #EnterpriseAI #AWSPartner #Innovation
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🔍 At Datasaur, we believe that a high-quality dataset is critical to improving the performance of any machine learning models. We built Label Error Detection for that very reason – using models to automatically identify and correct label errors. 🚀 This feature streamlines the reviewing process, enabling users to focus on a subset of data flagged as label errors, potentially reducing their reviewing costs by up to 99% compared to manually reviewing all data points. We tested this feature in experiments using publicly available data from AG News, IMDB, Yelp, and DBpedia. Find the further insights in our Whitepaper below! 📑 #DataQuality #MachineLearning #LabelErrorDetection #AI #DataScience #Datasaur
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✨ Achieve High Performing models with 60% less data. Sentence Transformer Fine-tuning (SetFit) is a new approach to modeling that leverages pretrained language models to achieve high accuracy even with minimal labeled data. Offering faster training times, no need for prompts, and multilingual capabilities, SetFit is making its mark in the machine learning community. 🌍 🔬 We tested the potential by integrating SetFit into our native Predictive Labeling feature. Our experiments show SetFit outperforms traditional models, reducing data labeling efforts by 60%. This translates to more efficient, more accurate results for your AI projects. 🚀 📄 Read more of our insights in our whitepaper attached in our post below. #MachineLearning #AI #DataScience #NLP #Innovation #TechTrends
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Datasaur is now fully GDPR compliant! 🛡️ At Datasaur, data privacy and compliance form the cornerstone of everything we do. Our commitment to protecting your data is unwavering, and we are proud to meet the highest standards of data protection. Thank you for trusting us with your data. Together, we continue to build secure and reliable solutions for the future. #DataPrivacy #GDPR #Compliance #Datasaur
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🚀 Introducing a new workspace role: Supervisor 👥 🤔 What's a Supervisor? A Supervisor is your go-to for day-to-day workspace management. They bridge the gap between team members and admins, ensuring tasks are on track without needing full administrative access. 📈 This role helps the Admins focus on strategy while Supervisors manage daily operations. Ready to enhance your workspace? Get started with Supervisor today! #datasaureatstheworld #nlp #labeling #workspacemanagement
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Datasaur reposted this
✨Datasaur and Prosa.ai recently conducted an experiment to automate a labeling project with an online food service dataset. Leveraging Datasaur's Data Programming, we achieved a speed of 0.04 seconds per row with high accuracy. The dataset is subsequently ready to be consumed by Prosa's machine learning, effectively and efficiently. This is how your future labeling projects should be: easy, quick, accurate, and integrated! 🎯 #DataLabeling #MachineLearning #AI #Datasaur #Prosa #Automation
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✨Datasaur and Prosa.ai recently conducted an experiment to automate a labeling project with an online food service dataset. Leveraging Datasaur's Data Programming, we achieved a speed of 0.04 seconds per row with high accuracy. The dataset is subsequently ready to be consumed by Prosa's machine learning, effectively and efficiently. This is how your future labeling projects should be: easy, quick, accurate, and integrated! 🎯 #DataLabeling #MachineLearning #AI #Datasaur #Prosa #Automation