Guides

Building high-quality NLP and LLM models can be complex, so we've created these guides to deliver maximum business impact and streamline team efficiency.

Best Practices for Prompt Engineering

Learn more about best practices for Prompt Engineering when using Claude, Mistral, and Llama.
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Productizing Large Language Models: A Comprehensive Guide

Datasaur previously helped democratize access to NLP, and now it will support companies in being at the forefront of Large Language Model (LLM) adoption and product development consultation.
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Guide to Liability in AI

Read about the ways that our laws and liability systems are evolving with—and as a result of—AI's rapid evolution.
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Guide to the Democratization of AI, ML, and NLP

AI is revolutionizing society and bringing up new ethical issues. Read about how democratization is coming into play for AI, ML, and NLP.
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Guide to Data Labeling Best Practices

Read about our best practices for increasing the efficiency of your team and your data labeling.
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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."

Director of Data Science, Financial Institution