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Agentic Design Methodology: How to Build Reliable and Human-Like AI Agents using Parlant
«`html Agentic Design Methodology: How to Build Reliable and Human-Like AI Agents using Parlant Understanding the Target Audience The target audience for the Agentic Design Methodology includes business leaders, AI developers, and product managers interested in building reliable AI agents. They often face challenges with traditional software development paradigms that do not translate well to… →
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How to Evaluate Voice Agents in 2025: Beyond Automatic Speech Recognition (ASR) and Word Error Rate (WER) to Task Success, Barge-In, and Hallucination-Under-Noise
How to Evaluate Voice Agents in 2025: Beyond Automatic Speech Recognition (ASR) and Word Error Rate (WER) to Task Success, Barge-In, and Hallucination-Under-Noise In an era where voice interactions are becoming increasingly central to user experiences, it is crucial to evaluate voice agents beyond traditional metrics like Automatic Speech Recognition (ASR) and Word Error Rate… →
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This AI Paper Proposes a Novel Dual-Branch Encoder-Decoder Architecture for Unsupervised Speech Enhancement (SE)
«`html Understanding the Target Audience for Unsupervised Speech Enhancement The target audience for this research on Unsupervised Speech Enhancement (SE) encompasses professionals and academics in the fields of artificial intelligence, audio engineering, and business management. These individuals are typically involved in developing or implementing AI solutions for real-world applications, especially in communication and customer service… →
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A Coding Implementation to Build a Transformer-Based Regression Language Model to Predict Continuous Values from Text
A Coding Implementation to Build a Transformer-Based Regression Language Model to Predict Continuous Values from Text A Coding Implementation to Build a Transformer-Based Regression Language Model to Predict Continuous Values from Text In this tutorial, we will build a Regression Language Model (RLM), which predicts continuous numerical values directly from text sequences. Unlike traditional models… →
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Google Proposes TUMIX: Multi-Agent Test-Time Scaling With Tool-Use Mixture
Google Proposes TUMIX: Multi-Agent Test-Time Scaling With Tool-Use Mixture Understanding the Target Audience The target audience for TUMIX includes AI researchers, business leaders in technology, and data scientists focused on improving the efficiency and effectiveness of AI systems. Their pain points typically involve: High inference costs associated with tool-augmented AI models. Need for improved accuracy… →
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Evaluation of Postoperative Pain with Cryotherapy after Single-visit Endodontics in Teeth with Symptomatic Irreversible Pulpitis and Apical Periodontitis
CONCLUSION: The findings suggest that cryotherapy with cold saline is significantly more effective than regular saline in reducing postoperative pain in patients with symptomatic irreversible pulpitis and apical periodontitis. This method effectively lowers pain levels at 24 and 48 hours, improving patient comfort and satisfaction. →
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Dual modulation of lipid and glucose metabolism by a nutraceutical combination in patients at cardiometabolic risk: results from a multicenter randomized controlled trial
CONCLUSIONS: Taken together, our findings indicate that the treatment with a NUT combination containing Morus alba simultaneously reduces plasma levels of LDL-C and glucose. →
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Acceptability of home-based HPV self-sampling for cervical cancer screening among users and providers in the West region of Cameroon: a cross-sectional study
CONCLUSION: Home-based HPV self-sampling was highly accepted across all study groups and was unaffected by sociodemographic factors. Previous screening practices were associated with age, income, and knowledge. Home-based HPV self-sampling screening can address access disparities to CC screening. Community involvement in planning and implementing these programs is essential to ensure their success. →
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Effects of blood flow restriction combined with electrical stimulation on muscle functions and performance in university football players with knee osteoarthritis
The purpose of this study was to investigate the effects of combining blood flow restriction training (BFRT) with electrical muscle stimulation (EMS) on muscle functions and sports performance in football players with knee osteoarthritis (KOA). This parallel randomized controlled trial was conducted on 64 football players diagnosed with KOA at Chengdu Sport University. Participants were… →
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Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes
Can a Small Language Model Predict Kernel Latency, Memory, and Model Accuracy from Code? A New Regression Language Model (RLM) Says Yes Understanding the Target Audience The target audience for this research primarily includes software engineers, data scientists, and AI researchers who are interested in performance prediction within programming environments. These professionals often face challenges… →