The latest in AI and NLP insights and research from the Datasaur team
Enhancing Data Quality: Finding and Fixing Label Errors with Datasaur
Building a high-quality dataset is crucial but time-consuming. Through experiments and case studies, our approach has proven to improve dataset quality and, consequently, machine learning model performance.
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Datasaur Predictive Labeling: Achieve High-Performing AI Models with 60% Less Data Labeling Effort
By using Datasaur Predictive Labeling powered by SetFit, organizations can achieve high-performing AI models with 60% less data labeling effort
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Choosing the Right LLM: An Exploration into How Different Models Stack Up in Performance
With new models emerging frequently, boasting superiority over OpenAI, we dive into their strengths, weaknesses, and performance differences to uncover what sets them apart.
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Enhancing Language Model Distillation with Datasaur
LLMs advance AI by revolutionizing language understanding. However, they demand heavy resources, making them expensive and hard to debug. Model distillation simplifies these models while retaining their capabilities.
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Shifting from Model-Centric to Data-Centric MLOps
Working with Machine Learning (ML) can be quite challenging. This is where MLOps (Machine Learning Operations) comes in. MLOps provides a valuable framework for ML engineers and data scientists.
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Mongabay: First Indonesian Weak Supervised Dataset - Curated by Data Programming
Read more on how we utilize our own Data Programming feature to construct a weakly curated dataset sourced from Mongabay, an Indonesian conservation portal. This discovery was also featured at the South East Asian Language Processing workshop 2023.
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FinTech and NLP
Explore the rapid advancements in FinTech and NLP, driving innovation in the financial technology sector.
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LegalTech and NLP
Read about how LegalTech and NLP are advancing at a rapid pace, and are driving the LegalTech industry forward.
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Experience Management and NLP
XM means dealing with a lot of data and a lot of voices. This whitepaper covers how NLP and XM are evolving together right now.
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Conversational AI and NLP
Customers expect new levels of interaction from Conversational AI solutions. Read about how NLP is the key to making that happen.
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Workforce Management and NLP
Read about how Datasaur lets you track productivity at every level, from zooming in to check individual labeling progress to zooming out for project overviews.
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As seen on
We [Consensus] had a very complex and specific set of annotation needs. Datasaur was able to address those needs efficiently and effectively.
Eric Olson, Co-founder and CEO, Consensus
Information labeling tasks has been reduced by 80% which has allowed us to optimize our workflow much more, allowing us to focus on other areas that are also priorities for us.
Product Manager, LegalTech
"We looked at Prodigy, LightTag, LabelBox, Scale and more. You really can't beat Datasaur for their suite of features and price point."