Large language models (LLMs) like GPT-4, Gemini, and Llama 3 have revolutionized natural language processing through extensive pre-training and supervised fine-tuning (SFT). However, these models come with high computational costs for training and inference. Structured pruning has emerged as a promising method to improve LLM efficiency by selectively removing less critical components. Despite its potential,… →
The problem of over-optimization of likelihood in Direct Alignment Algorithms (DAAs), such as Direct Preference Optimisation (DPO) and Identity Preference Optimisation (IPO), arises when these methods fail to improve model performance despite increasing the likelihood of preferred outcomes. These algorithms, which are alternatives to Reinforcement Learning from Human Feedback (RLHF), aim to align language models… →
Large Language models (LLMs) have long been trained to process vast amounts of data to generate responses that align with patterns seen during training. However, researchers are exploring a more profound concept: introspection, the ability of LLMs to reflect on their behavior and gain knowledge that isn’t directly derived from their training data. This new… →
Point tracking is paramount in video; from 3d reconstruction to editing tasks, a precise approximation of points is necessary to achieve quality results. Over time, trackers have incorporated transformer and neural network-based designs to track individual and multiple points simultaneously. However, these neural networks could be fully exploited only with high-quality training data. Now, while… →
CONCLUSIONS: During the 12-month follow-up period, no TMP/SMX-sensitive OIs occurred in SLE patients receiving low-level immunosuppressive therapy, suggesting that primary prophylaxis with TMP/SMX may not significantly benefit this population. The high rate of ADRs observed underscores the need for clinicians to carefully consider the risks and benefits of TMP/SMX prophylaxis in these patients. →
CONCLUSIONS: We found each component of the multifaceted ASI and its implementation to have added value in the process to improve antibiotic prescribing for suspected UTIs in a heterogeneous older adult care setting. We recommend using a multifaceted, multidisciplinary approach that enables HCPs to reflect on their current practice and accordingly tailor local implementation. →
CONCLUSIONS: The study demonstrated that a formalized educational program improved knowledge of the physical exam of the TMJ in JIA. Learners viewing the module were more adept at obtaining quantitative TMJ measurements. →
BACKGROUND: Lung cancer screening (LCS) can reduce lung cancer mortality but has potential harms for patients. A shared decision-making (SDM) conversation about LCS is required by the Centers for Medicare & Medicaid Services (CMS) for LCS reimbursement. To overcome barriers to SDM in primary care, this protocol describes a telehealth decision coaching and navigation intervention… →
CONCLUSIONS: Home-based respiratory and chest mobility exercise could be an adjunct to cardiac rehabilitation in long COVID with cardiovascular comorbidities for improving cardiorespiratory functional capacity. →
CONCLUSION: In the absence of weight loss, a low carbohydrate ketogenic diet has no beneficial effect on glucose tolerance, insulin sensitivity, or other metabolic parameters. →