Human feedback is often used to fine-tune AI assistants, but it can lead to sycophancy, where the AI provides responses that align with user beliefs rather than being truthful. Models like GPT-4 are typically trained using RLHF, enhancing output quality as humans rated. However, some suggest that this training might exploit human judgments, resulting in… →
There is an urgent need for rapid, non-sputum point-of-care diagnostics to detect tuberculosis. This prospective trial in seven high tuberculosis burden countries evaluated the diagnostic accuracy of the point-of-care urine-based lipoarabinomannan assay FUJIFILM SILVAMP TB LAM (FujiLAM) among inpatients and outpatients living with HIV. Diagnostic performance of FujiLAM was assessed against a mycobacterial reference standard… →
BACKGROUND: Forcibly displaced adolescents face increased risks for mental illness and distress, with adolescent girls disproportionately affected in part due to heightened gender inequity. Although the family unit has the potential to promote healthy development in adolescents, few family interventions have employed a gender transformative approach or included male siblings to maximize benefits for adolescent… →
CONCLUSIONS: This community-based lifestyle intervention for patients with baseline HbA1c <8% did not result in a significant decrease of HbA1c but reduced caloric intake, body weight, and weekend inactivity after controlling for the covariates. →
CONCLUSIONS: In this study, community-wide UTT and TB screening resulted in substantially lower TB incidence among PLHIV at population-level, compared to standard-of-care, with statistical significance reached in the final study year. There was also some evidence this translated to a decrease in self-reported TB incidence overall in the population. Reduction in arm A but not… →
CONCLUSIONS: SBIRT-A is widely endorsed but currently underused in pediatric primary care settings, and questions remain about optimal approaches and overall effectiveness. In particular, referral to treatment procedures in primary care remains virtually untested among youth. In addition, whereas research strongly supports involving families in interventions for adolescent AOD, SBIRT-A effectiveness trial testing approaches that… →
Natural language processing (NLP) teaches computers to understand, interpret, and generate human language. Researchers in this field are particularly focused on improving the reasoning capabilities of language models to solve complex tasks effectively. This involves enhancing models’ abilities to process and generate text that requires logical steps and coherent thought processes. A significant challenge in… →
Llama 3 has significantly outperformed GPT-3.5 and even surpassed GPT-4 in several benchmarks, showcasing its strength in efficiency and task-specific performance despite having fewer parameters. However, GPT-4o emerged with advanced multimodal capabilities, reclaiming the top position. Llama 3, utilizing innovations like Grouped-Query Attention, excels in translation and dialogue generation, while GPT-4 demonstrates superior reasoning and… →
CONCLUSIONS: To our knowledge, this is the first study to show that bCBT may enhance the client working alliance when compared to evidence-based routine care for depression that services reported offering. The working alliance in bCBT was also associated with clinical improvements that appear to be enhanced by good program usability. Our findings add further… →
LLMs like GPT, Gemini, and Claude have achieved remarkable performance but remain proprietary, with limited training details disclosed. Open-source models such as LLaMA-3 have provided weights but need more transparency in training data and methods. Efforts to create fully transparent LLMs, such as Pythia, Amber, and OLMo, aim to enhance scientific research by sharing more… →