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Large Language Models (LLMs): An Explainer
In this blog post, CSET’s Natural Language Processing (NLP) Engineer, James Dunham, helps explain LLMs in plain English.
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How States Can Improve Generative AI’s Role in Disability Empowerment
Recommendations for states to consider when working with AI vendors throughout the procurement and implementation process
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A Guide to Responsible and Efficient Use of Generative Tools
This video shows you how to get started with using Generative AI tools, including Bard, Bing, and ChatGPT, in your work as public sector professionals.
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Parking signs and possible futures for LLMs in government
Government agencies adopting generative AI tools seems inevitable at this point. But there is more than one possible future for how agencies use generative AI to simplify complex government information.
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Controlling Large Language Models: A Primer
Concerns over risks from generative artificial intelligence systems have increased significantly over the past year, driven in large part by the advent of increasingly capable large language models. But, how do AI developers attempt to control the outputs of these models? This primer outlines four commonly used techniques and explains why this objective is so challenging.
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What Are Generative AI, Large Language Models, and Foundation Models?
What exactly are the differences between generative AI, large language models, and foundation models? This post aims to clarify what each of these three terms mean, how they overlap, and how they differ.
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InnovateUS What Works: Fast Field Scanning with AI Course
This course is designed to help public professionals accelerate the process of finding and implementing urgently-needed evidence-based solutions to public problems.
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Colorado Statewide GenAI Policy
This policy supports the appropriate development, deployment, and use of generative artificial intelligence (GenAI) systems, products, services, tools, and content within consolidated state agencies in Colorado.
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InnovateUS AI Workshop Archive
A comprehensive series of workshops and courses designed to equip public sector professionals with the knowledge and skills to responsibly integrate AI technologies into government operations.
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Use of Publicly Available Generative AI
Guidelines for the use of publicly available generative artificial intelligence (AI) in the State of North Carolina
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Better Together? An Evaluation of AI-Supported Code Translation
This research explores how software engineers are able to work with generative machine learning models. The results explore the benefits of generative code models and the challenges software engineers face when working with their outputs. The authors also argue for the need for intelligent user interfaces that help software engineers effectively work with generative code models.
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Generating Opportunity: The Risks and Rewards of Generative AI in State Government
This publication seeks to answer one of the most common questions that CIOs ask: “What are other states doing with generative AI and what is the role of the state CIO?”