Large Language Models (LLMs) have revolutionized software development by enabling code completion, functional code generation from instructions, and complex code modifications for bug fixes and feature implementations. While these models excel at generating code from natural language instructions, significant challenges persist in evaluating the quality of LLM-generated code. The critical aspects requiring assessment include code… →
CONCLUSIONS: In patients with PAF and OSA, treatment with CPAP was not associated with reverse LA remodelling within 12 months of follow-up. →
Task planning in language agents is gaining attention in LLM research, focusing on breaking complex tasks into manageable sub-tasks arranged in a graph format, with nodes as tasks and edges as dependencies. The study explores task planning challenges in LLMs, such as HuggingGPT, which leverages specialized AI models for complex tasks. Analyzing failures in task… →
Deep learning has made advances in various fields, and it has made its way into material sciences as well. From tasks like predicting material properties to optimizing compositions, deep learning has accelerated material design and facilitated exploration in expansive materials spaces. However, explainability is an issue as they are ‘black boxes,’ so to say, hiding… →
Artificial Intelligence (AI) has revolutionized numerous industries, from healthcare to finance. It empowers machines to learn from data, make intelligent decisions, and solve complex problems. Let’s understand a fundamental technique in AI, Artificial Intelligence (AI) clustering. As the term “clustering” suggests, it involves grouping similar data points. AI clustering is discovering underlying patterns and structures… →
As the world is evolving towards a personal digital experience, recommendation systems, while being a must, from e-commerce to media streaming, fail to simulate users’ preferences to make better recommendations. Conventional models do not capture the subtlety of reasons behind user-item interactions thus generalized recommendations are presented. With such restrictions on the limited rationale, large… →
CONCLUSIONS: Among participants with obesity and knee osteoarthritis with moderate-to-severe pain, treatment with once-weekly injectable semaglutide resulted in significantly greater reductions in body weight and pain related to knee osteoarthritis than placebo. (Funded by Novo Nordisk; STEP 9 ClinicalTrials.gov number, NCT05064735.). →
CONCLUSIONS AND RELEVANCE: In this cluster-randomized clinical trial of the VBTS intervention, there was no improvement in the percentage of test results receiving follow-up. However, the VBTS may offer benefits for sites with low baseline performance. →
The rise of large language models has been accompanied by significant challenges, particularly around ensuring the factuality of generated responses. One persistent issue is that these models can produce outputs that are factually incorrect or even misleading, a phenomenon often called “hallucination.” These hallucinations occur when models generate confident-sounding but incorrect or unverifiable information. Given… →