rhedreen

What is “AI”?

• Semantic Analysis vs. LLMs
• Image analysis vs. Art/graphics generators
• self-contained vs. open to internet

What can they do?

• LLMs generate “plausible” text: likely vs accurate. This means that all results should read well and not have many obvious flaws – the flaws may be *much* less obvious!
• LLMs have a “temperature” setting that affects how tied to training data they are.
• Prompt wording is important – use the prompt to set the circumstances, the type of results, the audience, and any details. (Note: some models will ignore things that they can’t handle; try rewording, or a different model/platform.)
• All generator systems are dependent on the training data; bias in/bias out. Commons errors are repeated; common stereotypes are emphasized.

These are **Tools**

Ethics

• training data/copyright
• training processes
• privacy
• “replacing” humans

Learning more

• plenty of free webinars and short courses/workshops available
• beware both hype and doom
• try things out!

Tools to try

• Free (may limit use without an account; may have paid options for more features)
  • https://you.com/ (general search)
  • https://bing.com/chat (general search)
  • https://perplexity.ai/ (search, both general and specialized; basic writing tool)
  • https://goblin.tools/ (text and task tools; designed for neurodivergent users)
  • JSTOR Text Analyzer (access via Library database list for full text); http://www.jstor.org/analyze/ (academic semantic analysis, shows and allows modification of terms)
  • https://SemanticScholar.org/ (academic search; semantic analysis for related papers)
  • https://Consensus.app/ (academic search; advanced summary and analysis of papers)
• Account required
  • https://ResearchRabbit.ai/ (academic search based on known papers)
  • https://firefly.adobe.com (graphics; SCSU login should work)