Blog posts tagged with training

In this blog post, we discuss experimenting with AI, specifically ChatGPT, to determine the political leanings of books, hoping to maintain diversity in library collections without contributing to book bans. We share our initial test with both distinctly political and neutral books to see if the AI can accurately identify their perspectives, and the results are encouraging. Moving forward, we plan to challenge the AI with newer and less straightforward titles, exploring how this technology can help us keep our libraries inclusive and welcoming.

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We review new research showing that large language models (LLMs), like GPT-4, exhibit biases against dialects and names associated with certain racial groups. One study from the Allen Institute for AI found that these models have a prejudice against speakers of African-American English, potentially impacting decisions in areas like HR, criminal justice, and finance. Additionally, a Bloomberg report demonstrated a similar bias in AI evaluations of resumes with names common to Black and Hispanic people, suggesting that despite efforts to curb bias in AI, it remains a significant issue rooted in the data they're trained on. continue reading

Learn about our AI-based document remixing tool featured in our AI Grantwriting course, This feature will be integrated into our in-house AI platform this winter.

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In this article, we share some of the lessons learned from our recent "AI & Library Grantwriting" workshop series, including techniques for adapting writing techniques and some "recipes" for AI-assisted grantwriting.

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My first review of the new OpenAI Dall-E v3 image generator tool, including testing for copyright infringement.

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Ever heard of "token limits" in the AI world?  Here's what that means and a bunch of examples!

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Ever thought of AI-assisted book clubs? Dive into how ChatGPT can transform your reading group, from sparking dynamic discussions to decoding challenging vocab. Explore the possibilities and pitfalls of this AI integration in libraries!

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Banning books is bad. Using inaccurate tools like ChatGPT to justify banning books is bad and shows a spectacular misunderstanding of how these tools work.

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There are a lot of companies working on AI-based products and services right now.  In our AI workshops for public librarians, we primarily use tools from OpenAI, the company behind ChatGPT.  But we also stay up-to-date on the other players, including Google.

As of today, we still view OpenAI's GPT-4 as the most useful general AI model, whether proprietary or open source.  Lots of AI-based products and services, including our own PLAID training app, are built around OpenAI's models.  But Google has recently announced a push to integrate their "Duet AI" into their Google Workspace offerings.  These are presumably variations of the beta AI tools that have been in Workspace for a while, and they're intended to compete with Microsoft's Copilot offerings in Office.

In a live demo this week, we tried it out! 

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This brief video (just 2 minutes!) shows off some of the highlights of our "Public Libraries & AI" training that we began earlier this year!  Our next sessions begin in September so sign up to learn more about how AI works and how it can work in your library. (closed-captions available)

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