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Top 25 AI Tools for Increasing Sales in 2025
The business landscape is undergoing a profound transformation, driven by artificial intelligence technologies that are reshaping how companies approach sales and customer relationships. As we ...
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ConfliBERT: A Domain-Specific Language Model for Political Violence Event Detection and Classification
The transformation of unstructured news texts into structured event data represents a critical challenge in social sciences, particularly in international relations and conflict studies. The process ...
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Meet OREO (Offline REasoning Optimization): An Offline Reinforcement Learning Method for Enhancing LLM Multi-Step Reasoning
Large Language Models (LLMs) have demonstrated impressive proficiency in numerous tasks, but their ability to perform multi-step reasoning remains a significant challenge. This limitation becomes ...
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Hume AI Introduces OCTAVE: A Next-Generation Speech-Language Model with New Emergent Capabilities like On-The-Fly Voice and Personality Creation
The evolution of speech and language technology has led to improvements in areas like voice assistants, transcription, and sentiment analysis. However, many models struggle to capture the nuances of ...
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Evaluation Agent: A Multi-Agent AI Framework for Efficient, Dynamic, Multi-Round Evaluation, While Offering Detailed, User-Tailored Analyses
Visual generative models have advanced significantly in terms of the ability to create high-quality images and videos. These developments, powered by AI, enable applications ranging from content ...
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Microsoft Researchers Release AIOpsLab: An Open-Source Comprehensive AI Framework for AIOps Agents
The increasing complexity of cloud computing has brought both opportunities and challenges. Enterprises now depend heavily on intricate cloud-based infrastructures to ensure their operations run ...
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Meet LLMSA: A Compositional Neuro-Symbolic Approach for Compilation-Free, Customizable Static Analysis with Reduced Hallucinations
Static analysis is an inherent part of the software development process since it enables such activities as bug finding, program optimization, and debugging. The traditional approaches have two major ...
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Viro3D: A Comprehensive Resource of Predicted Viral Protein Structures Unveils Evolutionary Insights and Functional Annotations
Viruses infect organisms across all domains of life, playing key roles in ecological processes such as ocean biogeochemical cycles and the regulation of microbial populations while also causing ...
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NOVA: A Novel Video Autoregressive Model Without Vector Quantization
Autoregressive LLMs are complex neural networks that generate coherent and contextually relevant text through sequential prediction. These LLms excel at handling large datasets and are very strong at ...
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Mix-LN: A Hybrid Normalization Technique that Combines the Strengths of both Pre-Layer Normalization and Post-Layer Normalization
The Large Language Models (LLMs) are highly promising in Artificial Intelligence. However, despite training on large datasets covering various languages and topics, the ability to understand and ...
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OpenAI Announces OpenAI o3: A Measured Advancement in AI Reasoning with 87.5% Score on Arc AGI Benchmarks
On December 20, OpenAI announced OpenAI o3, the latest model in its o-Model Reasoning Series. Building on its predecessors, o3 showcases advancements in mathematical and scientific reasoning, ...
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This AI Paper from aiXplain Introduces Bel Esprit: A Multi-Agent Framework for Building Accurate and Adaptive AI Model Pipelines
Artificial intelligence has progressed from handling atomic tasks to addressing intricate, real-world problems requiring the integration of multiple specialized models. This approach, known as AI ...