​[[{“value”:” Retrieval-augmented generation (RAG) systems are essential in enhancing language model performance by integrating external knowledge sources into their workflows. These systems utilize methods that divide documents into smaller, manageable sections called chunks. RAG systems aim to improve both the accuracy and contextual relevance of… Read More »This AI Paper from Vectara Evaluates Semantic and Fixed-Size Chunking: Efficiency and Performance in Retrieval-Augmented Generation Systems Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” While today’s LLMs can skillfully use various tools, they still operate synchronously, only processing one action at a time. This strict turn-based setup limits their ability to handle multiple tasks simultaneously, reducing interactivity and responsiveness. For example, in a hypothetical scenario with an AI… Read More »Asynchronous AI Agent Framework: Enhancing Real-Time Interaction and Multitasking with Event-Driven FSM Architecture Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The exponential growth of multi-dimensional data across various fields, such as machine learning, geospatial analysis, and clustering, has posed significant challenges to traditional data structures. One such structure, the kd-tree, has long been a fundamental tool for managing high-dimensional datasets, supporting queries like nearest… Read More »UC Riverside Researchers Propose the Pkd-tree (Parallel kd-tree): A Parallel kd-tree that is Efficient both in Theory and in Practice Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have revolutionized natural language processing by offering sophisticated abilities for a range of applications. However, these models face significant challenges. First, deploying these massive models on end devices, such as smartphones or personal computers, is extremely resource-intensive, making integration impractical… Read More »How Modular Bricks are Revolutionizing the Efficiency of Large Language Models Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Synthetic data creation uses sophisticated algorithms like GANs, VAEs, or diffusion models to generate imitation datasets that mimic the statistical characteristics of real-world data. Traditional anonymization methods might not be able to solve privacy issues like breaches or re-identification, but synthetic solutions do. Even… Read More »Synthetic Data Outliers: Navigating Identity Disclosure Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Web scraping has emerged as a crucial method for gathering data, allowing companies and researchers to extract insightful information from the abundance of publicly accessible online content. Selecting the best online scraping tool might be difficult because there are so many of them accessible,… Read More »Top 15 Web Scraping Tools for Data Collection Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In robotics, tactile sensing is a critical technology that complements visual information, allowing the robots to interact with their environment in a way that is similar to human touch. They can perceive object textures and hardness well. However, the sensors are limited in their… Read More »DLO-Tact: Advancing Robotic Perception through Deep Learning-Assisted Object Recognition with a Hybrid Triboelectric-Capacitive Tactile Sensor Afeerah Naseem Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Agentic AI has emerged as a result of the quick development of Artificial Intelligence (AI). This new wave of AI is changing industries and reinventing how humans and machines work together. It is distinguished by its autonomous decision-making and problem-solving capabilities. In contrast to… Read More »What is Agentic AI? Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Marqo has introduced four groundbreaking datasets and state-of-the-art e-commerce embedding models designed to advance product search, retrieval, and recommendation capabilities in e-commerce. These models, Marqo-Ecommerce-B and Marqo-Ecommerce-L, offer substantial improvements in accuracy and relevance for e-commerce platforms by delivering high-quality embedding representations of product… Read More »Marqo Releases Advanced E-commerce Embedding Models and Comprehensive Evaluation Datasets to Revolutionize Product Search, Recommendation, and Benchmarking for Retail AI Applications Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite their advanced reasoning capabilities, the latest LLMs often miss the mark when deciphering relationships. In this article, we explore the Reversal Curse, a pitfall that affects LLMs across tasks such as comprehension and generation. To understand the underlying issue, it is a phenomenon… Read More »Bidirectional Causal Language Model Optimization to Make GPT and Llama Robust Against the Reversal Curse Adeeba Alam Ansari Artificial Intelligence Category – MarkTechPost