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Categories: prompt engineering
"Prompt chaining achieves the highest win times (77 out of 100), considerably outshining stepwise prompt in producing higher-quality summaries" (Sun et al. 2024) Large language models (LLMs) are objectively amazing, except when they're not. In fact they can sometimes generate total nonsense out of...
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AI gone wonky: The hallucination conundrum AI hallucinations are infuriating. They can be merely annoying or potentially lead to disastrous consequences without human oversight. The bigger picture is they undermine public trust in AI systems, which to me is a tragedy because when used well the...
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The Promise (and Peril) of Prompt Engineering The "pre-train, prompt, predict" paradigm enabled by LLMs seems deceptively simple. Theoretically, you should be able to create a conversational AI system just by giving natural language instructions to a pre-trained model. No coding or technical...
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The best LLMs like GPT4 and Claude Sonnet 3.5 are actually better than most people think! The concept of 'chain of thought' is the most important in AI 'prompt engineering' (apologies for the cringe-inducing terminology, but the fact is how prompts are crafted is massively important and this is...
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