Topic: Generative AI
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Automation + AI 
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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Automation + AI 
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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Automation + AI 
Responsible Use of Generative Artificial Intelligence for the Federal Workforce
Thoughts from the U.S. Office of Personnel Management on the responsible use of generative artificial intelligence (GenAI) for the federal workforce.
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Automation + AI 
Generative AI and Specialized Computing Infrastructure Acquisition Resource Guide
This website is designed to help Federal purchasers acquire generative artificial intelligence (AI) and specialized computing infrastructure for their organizations.
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Automation + AI 
State of California GenAI Guidelines for Public Sector Procurement, Uses and Training
The State of California government published guidelines for the safe and effective use of Generative Artificial (GenAI) within state agencies, in accordance with Governor Newsom's Executive Order N-12-23 on Generative Artificial Intelligence.
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Automation + AI 
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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Automation + AI 
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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Automation + AI 
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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Automation + AI 
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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Automation + AI 
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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Automation + AI 
State of California: Benefits and Risks of Generative Artificial Intelligence Report
This report on the use of Generative AI in State government presents an initial analysis of the potential benefits to individuals, communities, government and State government workers, while also exploring potential risks.
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Automation + AI 
Using open-source LLMs to optimize government data
Companies have been developing and using artificial intelligence (AI) for decades. But we've seen exponential growth since OpenAI released their version of a large language model (LLM), ChatGPT, in 2022. Open-source versions of these tools can help agencies optimize their processes and surpass current levels of data analysis, all in a secure environment that won’t risk exposing sensitive information.