Stanford takes costly, risky Alpaca AI model offline

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Stanford takes costly, risky Alpaca AI model offline
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Stanford sends 'hallucinating' Alpaca AI model out to pasture over safety, cost

"Instruction-following models such as GPT-3.5 , ChatGPT, Claude, and Bing Chat have become increasingly powerful," Stanford's researchers"Many users now interact with these models regularly and even use them for work. However, despite their widespread deployment, instruction-following models still have many deficiencies: they can generate false information, propagate social stereotypes, and produce toxic language.

Alpaca was fine-tuned with 50,000 text samples guiding the model into following specific instructions to make it function more like to OpenaI's text-davinci-003.

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What is the effect of mobile phone text message reminders on medication adherence among adult type 2 diabetes mellitus patients: a systematic review and meta-analysis of randomized controlled trials - BMC Endocrine DisordersWhat is the effect of mobile phone text message reminders on medication adherence among adult type 2 diabetes mellitus patients: a systematic review and meta-analysis of randomized controlled trials - BMC Endocrine DisordersBackground Globally, type 2 diabetes has become increasing. As little is known about the effect of educational intervention on this population, this systematic review and meta-analysis evaluated the effectiveness of mobile phone text message reminders versus usual care to improve medication adherence among type 2 diabetes mellitus patients. Methods PubMed, Google Scholar, Cochrane Library, Scopus, and African Journals Online, were searched. A random-effects model was employed to estimate combined effect sizes. Subgroup analyses were employed to investigate possible sources of heterogeneity between studies. The overall certainty of the evidence was evaluated using the Grading of Recommendations Assessment, Development, and Evaluation approach. Results A total of 9 trials with 1,121 participants were included in the review. The pooled estimated impact of mobile phone text message reminders on medication adherence was (SMD: 0.36; 95%CI; 0.14, 0.59) compared to usual care groups among patients with type 2 diabetes mellitus. In addition, subgroup analyses revealed greater medication adherence levels in those studies with intervention durations of more than six months and with self-report/refill adherence scale measurement (SMD: 0.21; 95%CI: 0.02, 0.40) and (SMD: 0.45; 95%CI: 0.22, 0.68), respectively. Conclusion Mobile phone text messages can potentially lead to improved medication adherence levels in patients with Type 2 diabetes despite heterogeneity across the studies. Therefore, mobile phone text messaging when delivered in addition to usual care, have the potential to produce significant improvements in medication adherence.
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