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Using RouteLLM to Optimize LLM Usage
«`html Using RouteLLM to Optimize LLM Usage Understanding the Target Audience The target audience for RouteLLM includes business leaders, data scientists, and AI engineers who seek to enhance the efficiency and productivity of their language model applications. These users typically face several pain points: High operational costs associated with deploying powerful language models. The need… →
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Randomized controlled trial on the clinical efficacy of hernia needle combined with single port laparoscopic scrotal approach and testicular arch fixation for the treatment of middle and low cryptorchidism in children
CONCLUSION: HN-SLATO has a significant clinical efficiency and high safety in the treatment of mid-low cryptorchidism in children, which can effectively improve intraoperative fixation and postoperative aesthetics of the testis, as well as reduce pain, serum inflammatory indicators and postoperative complications. →
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Sertraline hydrochloride combined with compound chamomile lidocaine gel for the treatment of premature ejaculation
CONCLUSION: Sertraline hydrochloride combined with compound chamomile lidocaine gel is definitely effective in the treatment of PE, which can significantly improve the patients’ quality of sexual life, with a high safety and low incidence of adverse reactions. →
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From 100,000 to Under 500 Labels: How Google AI Cuts LLM Training Data by Orders of Magnitude
«`html From 100,000 to Under 500 Labels: How Google AI Cuts LLM Training Data by Orders of Magnitude Google Research has unveiled a method for fine-tuning large language models (LLMs) that reduces the amount of required training data by up to 10,000x while maintaining or improving model quality. This approach focuses on active learning and… →
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AI Agent Trends of 2025: A Transformative Landscape
«`html AI Agent Trends of 2025: A Transformative Landscape The year 2025 marks a defining moment in the evolution of artificial intelligence, ushering in an era where agentic systems—autonomous AI agents capable of complex reasoning and coordinated action—are transforming enterprise workflows, research, software development, and day-to-day user experiences. This article focuses on five core AI… →
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9 Agentic AI Workflow Patterns Transforming AI Agents in 2025
«`html 9 Agentic AI Workflow Patterns Transforming AI Agents in 2025 Why Classic AI Agent Workflows Fail Most failed agent implementations rely on “single-step thinking”—expecting one model call to solve complex, multi-part problems. AI agents succeed when their intelligence is orchestrated across multi-step, parallel, routed, and self-improving workflows. According to Gartner, by 2028, at least… →
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Building an Advanced PaperQA2 Research Agent with Google Gemini for Scientific Literature Analysis
«`html Building an Advanced PaperQA2 Research Agent with Google Gemini for Scientific Literature Analysis This tutorial guides you through the process of creating an advanced PaperQA2 AI Agent powered by Google’s Gemini model, specifically designed for scientific literature analysis. You’ll set up your environment in Google Colab/Notebook, configure the Gemini API, and integrate it seamlessly… →
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Graph-R1: An Agentic GraphRAG Framework for Structured, Multi-Turn Reasoning with Reinforcement Learning
«`html Graph-R1: An Agentic GraphRAG Framework for Structured, Multi-Turn Reasoning with Reinforcement Learning Introduction Large Language Models (LLMs) have set new benchmarks in natural language processing, but their tendency for hallucination—generating inaccurate outputs—remains a critical issue for knowledge-intensive applications. Retrieval-Augmented Generation (RAG) frameworks attempt to solve this by incorporating external knowledge into language generation. However,… →
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Effects of high-protein nutritional supplementation on nutritional status, physical function, and quality of life in older gastric cancer patients receiving neoadjuvant chemotherapy: a randomized trial
CONCLUSIONS: High-protein ONS improved nutritional status and reduced malnutrition risk in older gastric cancer patients undergoing NAC. Further research is needed to assess the long-term effects of ONS on physical function and quality of life. →
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Successfully Reducing Sitting Time Can Improve Metabolic Flexibility
Impaired metabolic flexibility (MetFlex; the ability to regulate substrate oxidation) and sedentary behavior are both linked to cardiometabolic diseases, but the relationship between the two is not fully elucidated. This study investigated the effects of reduced sedentary time on MetFlex. Sixty-four sedentary adults with metabolic syndrome were randomized into intervention (INT, n = 33) and… →