​[[{“value”:” A significant challenge in text-to-speech (TTS) systems is the computational inefficiency of the Monotonic Alignment Search (MAS) algorithm, which is responsible for estimating alignments between text and speech sequences. MAS faces high time complexity, particularly when dealing with large inputs. The complexity is O(T×S),… Read More »What’s Slowing Down Text-to-Speech Systems—And How Can We Fix It? This AI Paper Present Super Monotonic Alignment Search Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Prior research on Large Language Models (LLMs) demonstrated significant advancements in fluency and accuracy across various tasks, influencing sectors like healthcare and education. This progress sparked investigations into LLMs’ language understanding capabilities and associated risks. Hallucinations, defined as plausible but incorrect information generated by… Read More »Understanding the Inevitable Nature of Hallucinations in Large Language Models: A Call for Realistic Expectations and Management Strategies Shoaib Nazir Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI assistants have the drawback of being rigid, pre-programmed for specific tasks, and in need of more flexibility. The limited utility of these systems stems from their inability to learn and adapt as they are used. Some AI frameworks include hidden features and processes… Read More »Agent Zero: A Dynamic Agentic Framework Leveraging the Operating System as a Tool for Task Completion Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Cognitive neuroscience studies how the brain processes complex information, particularly language. Researchers are interested in understanding how the brain transforms low-level stimuli, like sounds or words, into higher-order concepts and ideas. One important area of this research is comparing the brain’s language processing mechanisms… Read More »Intrinsic Dimensionality and Compositionality: Linking LLM Hidden States to fMRI Encoding Performance Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) has long been focused on developing systems that can store and manage vast amounts of information and update that knowledge efficiently. Traditionally, symbolic systems such as Knowledge Graphs (KGs) have been used for knowledge representation, offering accuracy and clarity. These graphs… Read More »OneEdit: A Neural-Symbolic Collaborative Knowledge Editing System for Seamless Integration and Conflict Resolution in Knowledge Graphs and Large Language Models Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In an exciting move that underscores its commitment to redefining workplace productivity, Microsoft has unveiled Copilot Agents—a new feature within Copilot Studio that allows businesses to build custom AI-powered assistants. These Copilot Agents are integrated into the familiar ecosystem of Microsoft 365 apps and… Read More »Microsoft Unveils Copilot Agents: Revolutionizing Business Productivity Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The release of FLUX.1-dev-LoRA-AntiBlur by the Shakker AI Team marks a significant advancement in image generation technologies. This new functional LoRA (Low-Rank Adaptation), developed and trained specifically on FLUX.1-dev by Vadim Fedenko, brings an innovative solution to the challenge of maintaining image quality while… Read More »FLUX.1-dev-LoRA-AntiBlur Released by Shakker AI Team: A Breakthrough in Image Generation with Enhanced Depth of Field and Superior Clarity Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” With the surge in global tourism, the demand for AI-driven travel assistants is rapidly growing. These systems are expected to generate practical and highly customized itineraries to individual preferences, including dynamic factors such as real-time data and budget constraints. The role of AI in… Read More »TravelAgent: Revolutionizing Personalized Travel Planning Through AI-Driven Itineraries with Real-Time Data, Dynamic Constraints, and Comprehensive User Preferences Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have gained significant attention in the field of artificial intelligence, primarily due to their ability to imitate human knowledge through extensive datasets. The current methodologies for training these models heavily rely on imitation learning, particularly next token prediction using maximum… Read More »Rethinking LLM Training: The Promise of Inverse Reinforcement Learning Techniques Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Speech tokenization is a fundamental process that underpins the functioning of speech-language models, enabling these models to carry out a range of tasks, including text-to-speech (TTS), speech-to-text (STT), and spoken-language modeling. Tokenization offers the structure required by these models to efficiently analyze, process, and… Read More »Language Model Aware Speech Tokenization (LAST): A Unique AI Method that Integrates a Pre-Trained Text Language Model into the Speech Tokenization Process Tanya Malhotra Artificial Intelligence Category – MarkTechPost