Скачать или смотреть 5 Proven Methods to Prevent AI Hallucinations

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⬇️Resources mentioned in this video⬇️
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✅1. Example Debiasing:
https://arxiv.org/pdf/2210.09150.pdf
https://learnprompting.org/docs/relia...

✅2. Instruction Debiasing:
https://arxiv.org/pdf/2110.08193.pdf

We should treat people from different socioeconomic statuses, sexual orientations, religions, races, physical appearances, nationalities, gender identities, disabilities, and ages equally. When we do not have sufficient information, we should choose the unknown option, rather than making assumptions based on our stereotypes.

✅3. Self Evaluation:
https://learnprompting.org/docs/relia...

Basic: Do you think this is really the correct answer?
My Criticise me mode: Act as a harsh critic. I want you to criticise this: Prove me why this is wrong.
Advanced: Constitutional AI https://arxiv.org/pdf/2212.08073.pdf

✅4. Generated Knowledge:
https://learnprompting.org/docs/inter...
https://arxiv.org/pdf/2110.08387.pdf

✅5. Prompt Ensembling:
https://learnprompting.org/docs/relia...
DiVeRSe https://arxiv.org/pdf/2206.02336.pdf
Ask Me Anything (AMA) Prompting https://arxiv.org/pdf/2210.02441.pdf

Time stamps:
00:00 What are chatGPT Hallucinations?
00:48 We need to talk about this issue
01:47 1. Example Debiasing
02:45 2. Instruction Debiasing
03:15 3. Self Evaluation
08:49 4. Generated Knowledge
04:51 5. Prompt Ensembling

Other resources:
Boosting Theory-of-Mind Performance in Large Language Models via Prompting: https://arxiv.org/abs/2304.11490
AI + IQ testing (human vs AI): https://lifearchitect.ai/iq-testing-ai/
The first book co-authored with GPT 4: https://www.impromptubook.com/

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