Developing an AI Training Plan for the Government Workforce

In talking about AI, there is a lot of discussion about "training the models"--feeding large amounts of data into an algorithm and then examining the results to ensure they are accurate. Once the models are deployed, the training does not stop for the models, and even more importantly, for its users.

A study from Deloitte estimates that generative AI could help boost productivity tenfold. However, this jump in efficiency will only be realized if AI and its outputs are being used correctly. Working with AI and AI-generated content requires a different set of skills that include critical thinking, algorithmic understanding, data analysis, deeper domain knowledge, cyber/data hygiene, and more. Continue reading

I See What You’re Saying. Natural Language Processing’s Role in our Digital World

Natural Language Processing (NLP) is a computer science practice that aims to give computers the ability to understand text and spoken words in the same way humans can. NLP is a key feature of Artificial Intelligence (AI) as understanding the language that we use to "teach" computers is critical to evolving the accuracy of the AI tasks we are asking of them.

The most familiar application of NLP is speech recognition--taking the spoken word and converting it to text. Speech recognition also is part of any application that follows voice commands.To work properly, the technology has to be knowledgeable of accents and frequently understand context (semantics) to differentiate words with a similar sound but have various meanings or spellings. NLP is also closely tied to several tasks that work in the background of applications we use everyday, including spam detection, foreign language translation, virtual assistants, chatbots, social media sentiment analysis, and text summaries/abstracts for long documents.

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