Tag: llm
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AI Assistants (Chatbots) Compared
Update for Research Model Comparisons: AI Tool Strengths Limitations Response Time OpenAI Deep Research Most rigorous; challenges assumptions, resolves source conflicts, produces academic-level reports Slower; tasks take longer to complete 15–30 minutes per task Google Gemini Fast and clean; great for high-level summaries Lacks deep synthesis or file uploads Very fast Claude Combines speed with…
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Another Prompting Framework: RACE (Role, Action, Context, Execute)
RACE Framework Explained AI is an incredible tool—but only if you ask the right way. Vague prompts lead to vague answers, while clear, structured prompts unlock AI’s full potential. I already wrote about the TCR (or TCREI) framework. Another useful framework to consider is the RACE framework: Role, Action, Context, Execute. This simple framework helps…
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How Can Small Businesses Use ChatGPT?
An Analytical Guide of ChatGPT for Small Businesses Artificial intelligence is no longer just a buzzword—it’s a practical tool transforming how small businesses work. ChatGPT, one of the fastest growing AI products ever, has the potential to support everything from social media and website copy to competitive analysis and customer feedback. Despite its promise, the…
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Prompting Basics and Methods
I came across this online book about Large Language Models (LLMs): Xiao, Tong, and Jingbo Zhu. “Foundations of Large Language Models,” 2025. I found it more on the technical side, but the Prompting chapter was an interesting read. I found it helpful, and wanted to share it simply here, with simplified examples of it (of…