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The Datasaur Blog
News, updates, and insights from the Datasaur Team
Latest update
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NLP
March 2026 Feature Updates: Better Guidance, Smarter Reviews, and Deeper Insights
April 7, 2026
This month’s updates introduce ML-assisted selective labeling, granular time-tracking metrics, and enhanced label guidance to boost precision and workflow efficiency. Additionally, new analytics for pre-labeled data and domain security controls provide teams with deeper visibility and stronger workspace protection.
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NLP
February 2026 Updates: Smarter Redaction, Easier Search, and Faster Exports
March 10, 2026
February updates bring improvements that make annotation workflows faster and easier, including smarter PII redaction, improved search for span labeling, and better export organization. New integrations and usability enhancements also help teams move from model training to deployment more quickly while simplifying large project management.
NLP
Datasaur's 2025 Feature Releases: Powering Smarter, Faster Data Labeling
February 3, 2026
As we move past 2025, the Datasaur team has been hard at work delivering features that make data labeling more efficient, flexible, and intelligent. Whether you're annotating text for NLP models, managing complex labeling workflows, or building datasets for LLM training, this year's updates are designed to help you work smarter. Here's a rundown of what's new and why it matters.
NLP
January 2026 Feature Updates: Smarter Reviews, Better Search, and Expanded Machine Learning Support
February 3, 2026
January’s release: data review faster and more transparent with smarter search, clearer review signals, and better control over pre-labeled data. We’ve also expanded ML-assisted labeling with Amazon Bedrock support for greater flexibility.
NLP
December Feature Updates: More Flexible Rows, Hybrid Labeling, and Expanded Evaluation Metrics
January 5, 2026
This release brings more control to structured data workflows, new flexibility in how you label data, and broader support for evaluating span projects. Here’s what’s new.
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NLP
November Feature Updates: Cleaner Span Editor, Better Search, and More Accurate Time Tracking
December 7, 2025
This month’s release focuses on a tidier labeling workspace, tighter review controls, and more accurate time reporting, especially when AI assists the work.
NLP
October Feature Updates: Pre-Label Approvals, Expanded Question Editing, and Smarter Search
November 4, 2025
October’s updates bring more control and efficiency to Data Studio. You can now require approval for pre-labeled spans, edit more question attributes mid-project, and search across all label sets in Span Labeling, making project management smarter and more flexible than ever.
NLP
September Feature Updates: New Mixed Labeling Type, Smarter Reviews, and Flexible Edits
October 4, 2025
We’ve rolled out a new set of features designed to make your labeling projects more flexible, transparent, and efficient. From combining labeling types into a single project to giving reviewers more visibility, here’s what’s new.
NLP
August Feature Updates: Smarter Reviews, Faster Labeling, and Easier Navigation
September 9, 2025
This August, we have rolled out new features designed to make reviewing decisions clearer, labeling faster, and navigation smoother. From tracking review outcomes to filtering what matters most, here’s what’s new.
NLP
August 22, 2025
The 2025 LLM Scorecard from Datasaur offers a practical framework to evaluate top language models across Privacy, Quality, Cost, and Speed helping you choose the right model based on real-world performance, not hype. Whether you value self-hosting, affordability, or raw intelligence, this guide simplifies your decision with clear, comparative grades.
NLP
July Feature Updates: Labeling Agent, Smarter Search, and Editable Rows
July 28, 2025
This July, we’ve introduced several updates to improve both the speed and precision of your labeling workflow, whether you're reviewing documents, training models, or managing structured data. From sorting lines by metadata to letting AI lend a hand, here’s what’s new.
NLP
We Tested 4 Top LLMs for Labeling. One Surprised Us.
July 15, 2025
We tested four leading LLMs using Datasaur’s Labeling Agent on a zero-shot entity recognition task. GPT-4o delivered the highest overall score for accuracy and efficiency, while other models like Gemini and Claude excelled in coverage and balance, revealing unique tradeoffs for each.
NLP
June Feature Updates: Smarter Search, Faster Reviews, and Better Label Organization
June 30, 2025
Smarter Span Labeling tools and deeper control in LLM Labs, including enhanced search for unresolved labels, bulk conflict resolution, visible reviewer attribution, and flexible label organization, plus document-specific chunking in the Knowledge Base for improved retrieval and performance.
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NLP
Efficient Labeling and Review: The Search Extension
May 8, 2025
Datasaur’s enhanced Search extension streamlines data labeling by enabling instant, precise searches with advanced filtering, logic building, and bulk actions, boosting both speed and accuracy across large datasets. Designed for non-technical users, it empowers reviewers and labelers to efficiently manage complex annotation tasks.
NLP
A New Way to Label Text: Span + Line Labeling
May 5, 2025
We’ve introduced a new mixed labeling type that supports labeling spans within a line while also categorizing entire lines separately. This allows you to configure questions for each line and still perform regular span labeling. Perfect for use cases that require dual-level granularity like transcripts, contracts, or forms.
NLP
April Feature Updates: Mixed Labeling, Smarter Search, and More Project Control
April 28, 2025
We’re back with a fresh batch of updates aimed at making your labeling experience faster, more precise, and easier to manage. From new labeling types to better search functionality and project organization, here’s what’s new in the Datasaur platform.
NLP
How to: LLM-Automated Labeling for Legal Docs
April 15, 2025
Labeling legal documents can be slow and exhausting, but it doesn’t have to be. In this post, we show how Datasaur uses large language models inside Data Studio to automatically tag key parts of legal contracts. With just a few steps, you can upload your data, set up your labels, and let the system do the heavy lifting. A human reviewer still ensures quality, so whether you're a lawyer or a data scientist, it's easy to get started.
NLP
Introducing New NLP Platform Updates: Smarter Search, Validation, and Reporting
March 19, 2025
We're excited to roll out a series of updates to our NLP platform, designed to streamline your annotation process and improve data accuracy. Whether you’re searching for specific annotations, validating responses, or generating dynamic questions, these updates provide greater flexibility and efficiency.
NLP
Introducing New Question Type: Multiple Choice
February 20, 2025
The new Multiple Choice question type in Datasaur allows for assigning multiple labels to each row or document, enhancing the accuracy and ease of annotating text for tasks like sentiment analysis, intent recognition, and topic classification.
NLP
Say Goodbye to Clutter with Show and Hide Bounding Boxes
January 8, 2025
Datasaur's new "Show and Hide Bounding Box" feature allows users to toggle the visibility of labels, reducing visual clutter and improving focus and efficiency when working with overlapping or complex bounding boxes.
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NLP
Looking to Improve Task Distribution? Let Self-Assignment Do the Work
January 3, 2025
Labelers can now assign themselves to new projects as they become available in their Datasaur workspace.
NLP
Foundation Models, Lock In, and LLM portability
December 17, 2024
The need for AI project portability is critical as specialized models emerge, helping organizations avoid vendor lock-in, adapt to new advancements, and optimize AI efficiency.
NLP
What We've Learned Rescuing Failed AI Projects Learning from the 80% That Struggle
December 2, 2024
Overcome the challenges behind the 80% failure rate of AI projects, including talent shortages, data issues, misaligned expectations, and operational hurdles.
NLP
Build a Custom LLM for Slack in Under 1 Hour
November 21, 2024
Discover how to leverage Datasaur for building a robust, AI-driven chatbot for Slack.
NLP
Precision Made Easier: Introducing Text Selection in Bounding Box Labeling
November 18, 2024
Text Selection makes labeling text in documents precise and hassle-free, solving the challenges of traditional bounding boxes.
NLP
Why We Integrated Legal Expertise into Our AI Platform
October 31, 2024
Generic AI couldn't meet the legal industry's standards—Datasaur was built to bridge that gap with expert-driven precision.
NLP
Enhancing Labeling Result Insights Through Project Analytics
October 25, 2024
Datasaur’s upgraded Project Analytics delivers instant summaries and in-depth reports for clearer project insights.
NLP
Introducing Conversational Labeling: A Smarter Way to Analyze Conversations
October 25, 2024
Easily manage and label multi-turn conversations with Datasaur’s Conversational Labeling feature.
NLP
Demystifying AI Model Evaluation: A Comprehensive Guide
October 17, 2024
Evaluating six AI models on cost, speed, and quality for more informed selection.
NLP
Tailoring AI to Your Business: The Power of Custom LLMs
October 9, 2024
The era of LLMs for business is here, and it’s here to stay—and flourish.
NLP
Invoice Extraction Made Easy with LayoutLM and Datasaur
October 5, 2024
Boost the effectiveness of your extraction project by leveraging Datasaur and the LayoutLM model.
NLP
Simplify Your Project Configuration: Default Project Extension Setting
September 21, 2024
Hand-select your default extensions based on your specific needs!
NLP
August 13, 2024
Take your labeling process to new heights with Datasaur's LLM-Assisted Labeling!
NLP
IndustryPREP: Harnessing Generative AI for Superior Exam and Interview Preparation
August 10, 2024
IndustryPREP leverages LLM Labs to optimize generative AI models, enabling the creation of cost-effective and high-quality practice exam questions for their EdTech platform.
NLP
The Future of Work: How AI is Transforming Productivity
August 7, 2024
NLP
Embracing Model Optionality and Private LLMs
July 26, 2024
Enjoy maximum flexibility in choosing various models while staying secure and customizable with LLM Labs.
NLP
Improving the Review Process: Introducing Review Sampling
July 25, 2024
Streamline your QA process by leveraging our brand-new Review Sampling!
NLP
Exciting Update: ML Assisted Labeling Now Supports Multiple Input Columns!
July 25, 2024
Use our intelligent ML-assisted automation feature to predict labels in multiple columns simultaneously!
NLP
Datasaur's LLM Labs: Revolutionize AI Model Selection, Slash AI Costs with Amazon Bedrock
July 16, 2024
Revolutionize your AI projects with Datasaur's LLM Labs and Amazon Bedrock integration
NLP
The Importance of Data Accuracy and How Label Error Detection Automates QA
July 6, 2024
Minimize error and improve your data quality with Label Error Detection
NLP
Enhancing Data Quality: Finding and Fixing Label Errors with Datasaur
July 6, 2024
Leverage Label Error Detection to help you train your models more efficiently
NLP
Achieve High-Performing AI with 60% Less Data: Introducing Datasaur’s Predictive Labeling
July 6, 2024
Leverage Datasaur Predictive Labeling to achieve high performing models with less data.
NLP
Build and Fine-tune Claude 3.5 Sonnet on LLM Labs
July 6, 2024
Access advanced LLM models and optimize costs without re-uploading or recreating question sets.
NLP
Introducing the Supervisor Role: Your New Go-To for Workspace Management
June 14, 2024
Delegate your labeling tasks effortlessly with our new Supervisor role!
NLP
June 8, 2024
The best of both worlds: labeling thousands in one hour!
NLP
Stay in Sync: Synchronized Scrolling
June 1, 2024
Slide through your documents with ease using Synchronized Scrolling!
NLP
Simple Steps to Build a Model for Bulk Salary Transfers with Datasaur Dinamic
May 25, 2024
Further streamline you bulk salary transfers with Datasaur!
NLP
Enhance Bulk Salary Transfer Systems with ML-Assisted Labeling and Datasaur Dinamic
May 18, 2024
Update your bulk salary transfer systems effortlessly with Datasaur Dinamic's ML-assisted labeling. Learn how to integrate new data entities smoothly.
NLP
Elevate Your Machine Learning Models with Datasaur's Revolutionary Label Error Detection
May 15, 2024
The Crucial Link Between Data Quality and Model Success
NLP
Direct Access LLMs: Built-in GPT and Llama Models
May 10, 2024
Explore Datasaur's API-free Direct Access LLMs for effortless premium model testing and experimentation.
NLP
Keep Your Projects Moving: Transfer Assignment
May 7, 2024
Efficiently redistribute tasks with our Transfer Assignment feature, ensuring project continuity and uninterrupted workflows.
NLP
Adding Documents to An Ongoing Project
April 26, 2024
Working with multiple files has never been easier!
NLP
Welcome to the Next Level of Automated Data Labeling with Predictive Labeling
April 24, 2024
Predictive labeling at its finest!
NLP
Choosing the Right LLM: An Exploration into How Different Models Stack Up in Performance
April 19, 2024
Navigate the latest LLM landscape with insights from our comprehensive experiment!
NLP
Enhanced Flexibility: Modifying Question Sets Within a Project
February 7, 2024
Efficiently adjust the list of question sets without the need to re-upload or recreate them from scratch.
NLP
Datasaur Dinamic Now Supports Span-Based Labeling
January 27, 2024
Datasaur Dinamic is now here to enhance your span labeling experience even further.
NLP
English NER vs Global English - A Stanford Research Paper
January 12, 2024
Stanford's pioneering research on English NER performance: a stride forward for more inclusive NER models
NLP
Evaluation Metrics: Easily Evaluate ML Model in a Project
December 28, 2023
Effortlessly evaluate your ML model with Evaluation Metrics, refining data precision for optimal performance.
NLP
Empowering Medical Research with Precision Data Labeling
December 19, 2023
Harvard and Stanford researchers leverage Datasaur for efficient extraction of vital information from intricate radiology reports, advancing healthcare research.
NLP
Mongabay: First Indonesian Weak Supervised Dataset
December 13, 2023
Generating large-scale, high-quality labeled datasets using data programming
NLP
Feature Highlight: Data Programming
December 12, 2023
Learn about the utility of Datasaur's Data Programming feature!
NLP
Introducing SAML 2.0 Integration
November 23, 2023
User authentication streamlined using SAML 2.0 integration
NLP
Automate your Workflow with ML-Assisted Labeling Extension
November 21, 2023
Automate your labeling workflow with the ML-Assisted Labeling extension.
NLP
Bulk Label with the Search Extension
November 9, 2023
In this feature highlight, we discuss an example use-case for the Search Extension: a labeling tool that enables you to bulk label.
NLP
Introducing Krippendorff’s Alpha IAA Calculation
November 2, 2023
Ensure top-notch reliability with Datasaur, leveraging Krippendorff and Cohen coefficients.
NLP
Datasaur Launches LLM Lab to Build and Train Custom ChatGPT and Similar Models
October 26, 2023
All-in-one platform enables an integrated LLM building process to improve efficiency and save time for data scientists and engineers
NLP
Von Wobeser y Sierra Collaborates with Datasaur to Launch AI-powered Chatbot
October 20, 2023
A collaboration built for client satisfactions
NLP
Datasaur Dinamic - Amazon Sagemaker
October 13, 2023
NLP
October 10, 2023
Discover Blackbird's mission and why they chose Datasaur.
NLP
Data-Centric AI: The Paradigm Shift for Data Scientists
September 5, 2023
NLP
September 4, 2023
Release Datasaur Predictive Labeling which helps company generate labeled data with good quality but low effort
NLP
Comparative Analysis: Datasaur vs. Snorkel - NLP Annotation Platforms
September 4, 2023
NLP
August 28, 2023
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NLP
July 29, 2023
Securing your workspace with Two-Factor Authentication!
NLP
Amazon Comprehend is now Natively Integrated with Datasaur
July 5, 2023
You can now connect with Amazon Comprehend to predict labels within the interface.
NLP
Datasaur - Now Supporting LLMs
June 10, 2023
Datasaur now enables you to build a LLM
NLP
9 Reasons Datasaur.AI is the Best Text Annotation Tool
June 7, 2023
Datasaur is the premiere NLP labeling platform for its user-friendly and powerful approach to automation and manual labeling techniques.
NLP
Datasaur Assistive & Hugging Face
June 5, 2023
Automate the labeling process based on your own inputs.
NLP
Datasaur Integration with Google Vertex AI
May 27, 2023
Google Vertex AI is now integrated with Datasaur enabling you to deploy your Vertex model to automatically return labels within Datasaur's platform.
NLP
Native Azure AutoML Integration
May 17, 2023
Datasaur can now integrate with your Azure Auto ML model.
NLP
Data Programming - Labeling Function Analysis
May 6, 2023
Now you can evaluate the performance of your labeling functions.
NLP
Assisted Labeling with Amazon Comprehend
May 4, 2023
Learn how to predict labels in Datasaur using Amazon Comprehend.
NLP
Build a Model using Amazon Comprehend
April 28, 2023
Build a model with the new integration between Comprehend and Datasaur.
NLP
April 18, 2023
Today, we announce the development of a “ChatGPT for Bahasa Indonesia.”. In today's rapidly evolving technological landscape, groundbreaking advancements set the stage for future innovations. One such revolutionary development is the Large Language Model (LLM), exemplified by OpenAI's ChatGPT.
NLP
Build a Classification Model using Azure AutoML Integration
April 6, 2023
Datasaur's integration with Azure provides a powerful and efficient solution for data labeling and machine learning model training.
NLP
Datasaur Integration with Open AI
March 30, 2023
You can now use the power of OpenAI to automatically label your NLP data in Datasaur.
NLP
Actions: Automating Projection Creation
March 28, 2023
We have released a feature that enables you automatically create projects from your preferred workflow settings.
NLP
Data Programming for Token Based Projects
March 24, 2023
We are happy to announce the release of Data Programming (weak supervised learning) for Token-Based projects.
NLP
Build a Classification Model in 30 Minutes
March 14, 2023
This step-by-step tutorial provides a preliminary guide for the Datasaur blog post on how to fine-tune a model using HuggingFace.
NLP
Announcing the Beta Launch for Bounding Box Labeling
December 16, 2022
We are excited to announce the launch of our new bounding box labeling feature—now available in beta!
NLP
December 3, 2022
What happened in NLP and AI news in November? Read all about “safety AI”, predictions for AI in 2023, and more.
NLP
This Month in AI and NLP: Who Owns Bruce Willis? Deepfakes, Digital Rights, and AI
October 28, 2022
What happened in NLP and AI news in October? Read all about Bruce Willis deepfakes, digital right dilemmas, and more.
NLP
This Month in AI and NLP: AI-Generated Darth Vader, AI Art, Robots
October 1, 2022
What happened in NLP and AI news in September? Read all about AI-generated Darth Vader, ethical dilemmas around AI-generated art, and more.
NLP
This Month in AI and NLP: AI Generated Art, Household Robots, AI Musicians, and AI Copywriters
September 1, 2022
What happened in NLP and AI news in August? Read all about DALL-E 2’s AI generated art, household robots, AI copywriters, and more.
NLP
How Text Annotation Is Helping Companies Succeed by Monitoring Social Noise
August 17, 2022
"The use of AI text annotation is growing in popularity as a way for companies to monitor social media and get a better understanding of the tone around their brand. By being able to see not only what is being said, but how it is being said, companies can more easily identify and address any negative sentiment that may be brewing."
NLP
Weighing Up Data Labeling Tools: Datasaur vs. In-House
August 3, 2022
NLP is swiftly becoming a critical part of everyone’s product. Is in-house labeling or a data labeling tool like Datasaur the right choice for you?
NLP
July 29, 2022
What happened in NLP and AI news in July? Read all about Tesla’s AI changes, Meta’s language models, Google’s mislabeled emotion datasets, and more.
NLP
The Ultimate Guide to Use Cases for AI
June 24, 2022
AI has become an integral part of many industries. As industries advance, new uses for AI are uncovered and brought to the forefront. AI is moving at such a rapid pace, and it’s likely that there will be a vast number of new use cases popping up every year that we can’t even fathom yet!
NLP
This Month in AI and NLP: Meta’s New Language Model, Bloomberg Adoption of NLP, “Sentient” Chatbots
June 24, 2022
What happened in NLP and AI news in June? Catch up on Google chatbots, Meta’s massive language tool, Bloomberg’s use of NLP, AI and sports injuries, and more.
NLP
Economic Downturn 2022: How AI and NLP can Help Your Business Survive
June 14, 2022
These are undoubtedly uncertain times, and there’s a lot of talk around whether we’re on the cusp of an economic downturn in 2022. This is a time when your competitors may not plan well and could maintain high burn which hurts them in the long run. You can often pick up significant market share in an economic downturn by just staying alive and relying on the tools that are available to support your streamlining. You can bet that those that rise to the top of this time period will be using AI, and many companies that do not use AI will flounder and fall behind.
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NLP
Oct 8, 2921
Nartural Language Processing (NLP_ is beginning to add “order” to the legal field. Read this article to get an understanding of all the ways in which NLP can save massive amounts of time and energy for legal firms and organizations.
NLP
Oct 8, 2921
NLP
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NLP
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NLP
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Tutorial
.png)\ \ February 2026 Updates: Smarter Redaction, Easier Search, and Faster Exports\ \ \ \ March 10, 2026\ \ February updates bring improvements that make annotation workflows faster and easier, including smarter PII redaction, improved search for span labeling, and better export organization. New integrations and usability enhancements also help teams move from model training to deployment more quickly while simplifying large project management.](/content/blog-posts/february-2026-updates-smarter-redaction-easier-search-and-faster-exports/index.html)
Datasaur
\ \ Datasaur's 2025 Feature Releases: Powering Smarter, Faster Data Labeling\ \ \ \ February 3, 2026\ \ As we move past 2025, the Datasaur team has been hard at work delivering features that make data labeling more efficient, flexible, and intelligent. Whether you're annotating text for NLP models, managing complex labeling workflows, or building datasets for LLM training, this year's updates are designed to help you work smarter. Here's a rundown of what's new and why it matters.](/content/blog-posts/datasaurs-2025-feature-releases-powering-smarter-faster-data-labeling/index.html)
Datasaur
\ \ January 2026 Feature Updates: Smarter Reviews, Better Search, and Expanded Machine Learning Support\ \ \ \ February 3, 2026\ \ January’s release: data review faster and more transparent with smarter search, clearer review signals, and better control over pre-labeled data. We’ve also expanded ML-assisted labeling with Amazon Bedrock support for greater flexibility.](/content/blog-posts/january-2026-feature-updates-smarter-reviews-better-search-and-expanded-machine-learning-support/index.html)
Datasaur
\ \ December Feature Updates: More Flexible Rows, Hybrid Labeling, and Expanded Evaluation Metrics\ \ \ \ January 5, 2026\ \ This release brings more control to structured data workflows, new flexibility in how you label data, and broader support for evaluating span projects. Here’s what’s new.](/content/blog-posts/december-feature-updates-more-flexible-rows-hybrid-labeling-and-expanded-evaluation-metrics/index.html)
Datasaur
.png)\ \ November Feature Updates: Cleaner Span Editor, Better Search, and More Accurate Time Tracking\ \ \ \ December 7, 2025\ \ This month’s release focuses on a tidier labeling workspace, tighter review controls, and more accurate time reporting, especially when AI assists the work.](/content/blog-posts/november-feature-updates-cleaner-span-editor-better-search-and-more-accurate-time-tracking/index.html)
Datasaur
\ \ October Feature Updates: Pre-Label Approvals, Expanded Question Editing, and Smarter Search\ \ \ \ November 4, 2025\ \ October’s updates bring more control and efficiency to Data Studio. You can now require approval for pre-labeled spans, edit more question attributes mid-project, and search across all label sets in Span Labeling, making project management smarter and more flexible than ever.](/content/blog-posts/october-feature-updates-pre-label-approvals-expanded-question-editing-and-smarter-search/index.html)
Datasaur
\ \ September Feature Updates: New Mixed Labeling Type, Smarter Reviews, and Flexible Edits\ \ \ \ October 4, 2025\ \ We’ve rolled out a new set of features designed to make your labeling projects more flexible, transparent, and efficient. From combining labeling types into a single project to giving reviewers more visibility, here’s what’s new.](/content/blog-posts/september-feature-updates-new-mixed-labeling-type-smarter-reviews-and-flexible-edits/index.html)
Datasaur
\ \ August Feature Updates: Smarter Reviews, Faster Labeling, and Easier Navigation\ \ \ \ September 9, 2025\ \ This August, we have rolled out new features designed to make reviewing decisions clearer, labeling faster, and navigation smoother. From tracking review outcomes to filtering what matters most, here’s what’s new.](/content/blog-posts/august-feature-updates-smarter-reviews-faster-labeling-and-easier-navigation/index.html)
NLP Labeling
\ \ LLM Scorecard\ \ \ \ August 22, 2025\ \ The 2025 LLM Scorecard from Datasaur offers a practical framework to evaluate top language models across Privacy, Quality, Cost, and Speed helping you choose the right model based on real-world performance, not hype. Whether you value self-hosting, affordability, or raw intelligence, this guide simplifies your decision with clear, comparative grades.](/content/blog-posts/llm-scorecard-22-8-2025/index.html)
LLM
\ \ July Feature Updates: Labeling Agent, Smarter Search, and Editable Rows\ \ \ \ July 28, 2025\ \ This July, we’ve introduced several updates to improve both the speed and precision of your labeling workflow, whether you're reviewing documents, training models, or managing structured data. From sorting lines by metadata to letting AI lend a hand, here’s what’s new.](/content/blog-posts/july-feature-updates-labeling-agent-smarter-search-and-editable-rows/index.html)
Datasaur
\ \ We Tested 4 Top LLMs for Labeling. One Surprised Us.\ \ \ \ July 15, 2025\ \ We tested four leading LLMs using Datasaur’s Labeling Agent on a zero-shot entity recognition task. GPT-4o delivered the highest overall score for accuracy and efficiency, while other models like Gemini and Claude excelled in coverage and balance, revealing unique tradeoffs for each.](/content/blog-posts/we-tested-4-top-llms-for-labeling-one-suprised-us/index.html)
Datasaur
\ \ June Feature Updates: Smarter Search, Faster Reviews, and Better Label Organization\ \ \ \ June 30, 2025\ \ Smarter Span Labeling tools and deeper control in LLM Labs, including enhanced search for unresolved labels, bulk conflict resolution, visible reviewer attribution, and flexible label organization, plus document-specific chunking in the Knowledge Base for improved retrieval and performance.](/content/blog-posts/june-feature-updates-smarter-search-faster-reviews-and-better-label-organization/index.html)
Datasaur
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"We compared Datasaur to 55 other options, and in that exhaustive comparison -- we found Datasaur to have the most complete suite of tooling."
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"Datasaur enabled us to automate our entire QA pipeline, we know what has been labeled (and the quality of each label) every 5 minutes without touching anything. It's all automated."
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"Integrating the platform with our AWS environment has been seamless, providing us with scalable data labeling capabilities."
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"We found the entire platform incredibly intuitive and easy to navigate. Onboarding was smooth and we were able to quickly adopt their automation tooling which was very important for us when considering a labeling platform."
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"We [Consensus] had a very complex and specific set of annotation needs. Datasaur was able to address those needs efficiently and effectively all while maintaining the personal touch you would expect from a start-up."
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"Our experience was pretty great. I enjoyed my time on Datasaur."
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"Instead of manually creating each project, we’re able to automate the project creation. Instead of manually scrolling through hundreds of medical labels, we can rely on search functions. This has saved admins and team members a lot of time in their project workflows."
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