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We stay grounded in the latest research to navigate the promise and challenges of cutting-edge AI models.

Our team develops open-source code and implements custom solutions. In doing so, we have reduced tens of thousands of hours of burden from federal and state partners, greatly accelerated existing processes and reduced costs, and provided high explainability and transparency along the way.

For the past two years, we have also invested in innovative products under the DataWorks brand, based on original, patent-pending research. These solutions have been quietly developed and tested in partnership with our existing customers — we are excited to release them in phases over the coming year.

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Featured Blog
A Semi-Technical LLM Primer

Despite the numerous articles written on LLMs, few explain these concepts in a way that can be used for decision making.

Many articles fail to provide any technical detail at all, treating them as some great mystery, focusing on specific use-cases or challenges, and often suggesting a way to improve empirical performance (at a small fee to the writer, of course).

Others get too in-depth too quickly, assuming a knowledge of Machine Learning that most individuals do not have. And further complicating these explanations are the wide variety of use-cases, architectures, and sometimes conflicting definitions that make up the world of AI.

What is LLM
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AI Governance Guide

AEM has presented to technology leaders on AI governance on the East Coast, West Coast, and (several places) in-between.

In this document, we have compiled a number of questions we recommend for development teams that are seriously integrating AI models. These synthesize good practice from corporations, AI labs, and federal guidance.

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