​[[{“value”:” Reasoning is critical in problem-solving, allowing humans to make decisions and derive solutions. Two primary types of reasoning are used in problem-solving: forward reasoning and backward reasoning. Forward reasoning involves working from a given question towards a solution, using incremental steps. In contrast, backward… Read More »Google AI and UNC Chapel Hill Researchers Introduce REVTINK: An AI Framework for Integrating Backward Reasoning into Large Language Models for Improved Performance and Efficiency Nikhil Artificial Intelligence Category – MarkTechPost

​This article focuses on demystifying the difference between traditional data analytics methods vs. This article focuses on demystifying the difference between traditional data analytics methods vs.  Read More  

​[[{“value”:” Compute Express Link (CXL) emerges as an innovative technological solution addressing critical memory wall challenges in modern computing infrastructures. The interconnect technology presents a comprehensive approach to overcoming existing memory architecture limitations, offering high bandwidth density and a standardized interface for memory expansion and… Read More »Characterizing and Mitigating Compute Express Link (CXL) Interference in Modern Memory Systems Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Recent advances in natural language processing (NLP), led by large-scale pre-trained models such as GPT-3 and BERT, have transformed text generation and sentiment analysis tasks. These models’ ability to adapt to various applications with less data has contributed to their popularity in sensitive industries… Read More »Balancing Privacy and Robustness in NLP: A New Approach for Secure Prompt Learning in LLMs Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The development of effective AI models is crucial in deep learning research, but finding optimal model architectures remains challenging and costly. Traditional manual and automated approaches often fail to expand design possibilities beyond basic architectures like Transformers or hybrids, and the high cost of… Read More »Liquid AI Introduces STAR: An AI Framework for the Automated Evolution of Tailored Architectures Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In today’s world, large language models have shown great performance on various tasks and demonstrated different reasoning capabilities. This is important for advancing Artificial General Intelligence (AGI) and its use in robotics and navigation. Spatial reasoning includes quantitative aspects (e.g., distances, angles) and qualitative… Read More »This AI Paper Proposes a Novel Neural-Symbolic Framework that Enhances LLMs’ Spatial Reasoning Abilities Divyesh Vitthal Jawkhede Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence has been progressively transforming with domain-specific models that excel in handling tasks within specialized fields such as mathematics, healthcare, and coding. These models are designed to enhance task performance and resource efficiency. However, integrating such specialized models into a cohesive and versatile… Read More »MoDEM (Mixture of Domain Expert Models): A Paradigm Shift in AI Combining Specialized Models and Intelligent Routing for Enhanced Efficiency and Precision Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Universities face intense global competition in the contemporary academic landscape, with institutional rankings increasingly tied to the United Nations’ Sustainable Development Goals (SDGs) as a critical social impact assessment benchmark. These rankings significantly influence crucial institutional parameters such as funding opportunities, international reputation, and… Read More »Contextual SDG Research Identification: An AI Evaluation Agent Methodology Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Building large language model (LLM)-powered applications for real-world production scenarios is challenging. Developers often face issues such as inconsistent responses from models, difficulties in ensuring robustness, and a lack of strong type safety. When building applications that leverage LLMs, the goal is to provide… Read More »Meet PydanticAI: A New Python-based Agent Framework to Build Production-Grade LLM-Powered Applications Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The static knowledge base and hallucination-creating inaccuracy or fabrication of information are two common issues with large language models (LLMs). The parametric knowledge within LLMs is inherently static, making it challenging to provide up-to-date information in real-time scenarios. Retrieval-augmented generation (RAG) addresses the problem… Read More »DMQR-RAG: A Diverse Multi-Query Rewriting Framework Designed to Improve the Performance of Both Document Retrieval and Final Responses in RAG Nazmi Syed Artificial Intelligence Category – MarkTechPost