(3 Min Read)
๐ ๐๐ฎ๐๐ฒ ๐๐ผ๐ ๐ต๐ฒ๐ฎ๐ฟ๐ฑ ๐ผ๐ณ โ๐๐ฒ๐น๐ฎ๐, ๐๐ฒ๐ป๐, ๐๐ฒ๐ณ๐ฒ๐ป๐ฑ?โ
I experienced a health insurance claim denial and am $1,600 out-of-pocket. Over six months, I spoke to six reps by phone. Each rep listened to what I presented and agreed that the insurer was responsible. They resubmit the claim and say the Claims Dept. will take 14โ21 days to review it. Of course, thereโs no phone # or email for the Claims Dept. I login at 21 days: ๐๐๐ก๐๐๐! And the process starts again.
๐๐น๐ฉ๐ข๐ถ๐ด๐ต๐ช๐ฏ๐จ.
๐ ๐๐ฒ๐๐ฒ๐ฟ๐บ๐ถ๐ป๐ถ๐๐๐ถ๐ฐ ๐๐ ๐ฃ๐ฟ๐ผ๐ฏ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐๐ถ๐ฐ
I recently finished the book ๐๐จ๐ฆ๐ฏ๐ต๐ช๐ค ๐๐ณ๐ต๐ช๐ง๐ช๐ค๐ช๐ข๐ญ ๐๐ฏ๐ต๐ฆ๐ญ๐ญ๐ช๐จ๐ฆ๐ฏ๐ค๐ฆ by Pascal BORNET. He discusses these concepts:
โข ๐๐ฒ๐๐ฒ๐ฟ๐บ๐ถ๐ป๐ถ๐๐๐ถ๐ฐ ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ฒ๐ follow defined rules and return the same result each time for a given set of inputs. Consider an accounting process for a SOX-compliant public company. Accuracy is key.
โข ๐ฃ๐ฟ๐ผ๐ฏ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐๐ถ๐ฐ ๐ฝ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ฒ๐ incorporate randomness and produce different results with the same input. Think of a marketing team needing a creative list of blog post ideas.
Thatโs a helpful way to think about AI solutions
๐๐จ๐๐ถ๐ป๐ด ๐๐ต๐ฎ๐๐๐ฃ๐ง ๐๐ผ ๐๐ฒ๐น๐ฝ ๐๐บ๐ฝ๐ฟ๐ผ๐๐ฒ ๐ ๐ ๐๐ฝ๐ฝ๐ฒ๐ฎ๐น ๐๐ฒ๐๐๐ฒ๐ฟ
So, I drafted my appeal letter and imported it into ChatGPT. If youโve used an LLM to help revise writing, you know the process can involve a few โspin cyclesโโrevise, review, repeat. Many times, I request comments from GPT but rewrite myself. This time, I received a handful of comments. Exhausted, I said: โGo ahead and just rewrite the letter.โ
โ
๐ ๐๐ฎ๐๐ฒ ๐ช๐ต๐ฒ๐ฟ๐ฒ ๐ฎ ๐ฃ๐ฟ๐ผ๐ฏ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐๐ถ๐ฐ ๐ฅ๐ฒ๐๐ฟ๐ถ๐๐ฒ ๐ช๐ฎ๐ ๐จ๐๐ฒ๐ณ๐๐น
Weโve all had experiences where an LLM rewrites and the result was completely off. In this case, the randomness factorย pushed the tone of frustration that I felt. Here are three of the juiciest parts:
โข ๐๐ต ๐ด๐ฐ๐ฎ๐ฆ ๐ฑ๐ฐ๐ช๐ฏ๐ต, ๐ต๐ฉ๐ฆ ๐ณ๐ฆ๐ข๐ด๐ฐ๐ฏ ๐ง๐ฐ๐ณ ๐บ๐ฐ๐ถ๐ณ ๐ฅ๐ฆ๐ฏ๐ช๐ข๐ญ ๐ค๐ฉ๐ข๐ฏ๐จ๐ฆ๐ฅ! ๐๐ฉ๐ช๐ด ๐ธ๐ข๐ด ๐ฏ๐ฐ๐ฏ๐ด๐ฆ๐ฏ๐ด๐ฆ!
โข ๐๐ฉ๐ช๐ด ๐ฆ๐น๐ฑ๐ฆ๐ณ๐ช๐ฆ๐ฏ๐ค๐ฆ ๐ฉ๐ข๐ด ๐ง๐ฆ๐ญ๐ต ๐ญ๐ช๐ฌ๐ฆ ๐ข ๐ต๐ฆ๐น๐ต๐ฃ๐ฐ๐ฐ๐ฌ ๐ฆ๐น๐ข๐ฎ๐ฑ๐ญ๐ฆ ๐ฐ๐ง "๐๐ฆ๐ฏ๐บ, ๐๐ฆ๐ญ๐ข๐บ, ๐๐ฆ๐ง๐ฆ๐ฏ๐ฅ"โ๐ข ๐ต๐ข๐ค๐ต๐ช๐ค ๐ธ๐ฉ๐ฆ๐ณ๐ฆ ๐ช๐ฏ๐ด๐ถ๐ณ๐ฆ๐ณ๐ด ๐ด๐ต๐ข๐ญ๐ญ ๐ค๐ญ๐ข๐ช๐ฎ๐ด, ๐ฆ๐น๐ฉ๐ข๐ถ๐ด๐ต ๐ฑ๐ฐ๐ญ๐ช๐ค๐บ๐ฉ๐ฐ๐ญ๐ฅ๐ฆ๐ณ๐ด, ๐ข๐ฏ๐ฅ ๐ต๐ฉ๐ฆ๐ฏ ๐ฅ๐ฆ๐ฏ๐บ ๐ฑ๐ข๐บ๐ฎ๐ฆ๐ฏ๐ต ๐ฐ๐ฏ ๐ข ๐ต๐ฆ๐ค๐ฉ๐ฏ๐ช๐ค๐ข๐ญ๐ช๐ต๐บ. ๐๐ด ๐ต๐ฉ๐ช๐ด ๐ณ๐ฆ๐ข๐ญ๐ญ๐บ ๐ฉ๐ฐ๐ธ ๐บ๐ฐ๐ถ ๐ฐ๐ฑ๐ฆ๐ณ๐ข๐ต๐ฆ?
โข ๐ ๐ฆ๐น๐ฑ๐ฆ๐ค๐ต ๐ข๐ฏ ๐ข๐ค๐ต๐ถ๐ข๐ญ ๐ณ๐ฆ๐ท๐ช๐ฆ๐ธ ๐ฐ๐ง ๐ต๐ฉ๐ช๐ด ๐ด๐ช๐ต๐ถ๐ข๐ต๐ช๐ฐ๐ฏโ๐ฏ๐ฐ๐ต ๐ข๐ฏ๐ฐ๐ต๐ฉ๐ฆ๐ณ ๐ฆ๐ฎ๐ฑ๐ต๐บ ๐ณ๐ฆ๐ซ๐ฆ๐ค๐ต๐ช๐ฐ๐ฏ.
๐ข ๐๐ก ๐๐๐ข๐ฆ๐๐ก๐ ๐ข
This appeal letter is a great example of when AIโs probabilistic nature can deliver the punch a situation demands.
๐๐ฒ๐๐ฒ๐ฟ๐บ๐ถ๐ป๐ถ๐๐๐ถ๐ฐ ๐๐ ๐ฃ๐ฟ๐ผ๐ฏ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐๐ถ๐ฐ: Know when each applies in AI solutions. The randomness of a probabilistic output may be best!