​[[{“value”:” Tensor contradictions are used to solve problems related to different research fields, including model counting, quantum circuits, graph problems, and machine learning. But to minimize the computational cost, finding a contradiction order is important. If one sees the result of the computation of the… Read More »Enhancing Tensor Contraction Paths Using a Modified Standard Greedy Algorithm with Improved Cost Function Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In machine learning, multi-task learning (MTL) has emerged as a powerful paradigm that enables concurrent training of multiple interrelated algorithms. By exploiting the inherent connections between tasks, MTL facilitates the acquisition of a shared representation, potentially enhancing a model’s generalizability. MTL has found widespread… Read More »Multi-Task Learning with Regression and Classification Tasks: MTLComb Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Reinforcement Learning (RL) has gained attention in AI due to its ability to solve complex decision-making problems. One of the notable advancements within RL is Hierarchical Reinforcement Learning (HRL), which introduces a structured approach to learning and decision-making. HRL breaks complex tasks into simpler… Read More »Hierarchical Reinforcement Learning: A Comprehensive Overview Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) has revolutionized various fields by introducing advanced models for natural language processing (NLP). NLP enables computers to understand, interpret, and respond to human language in a valuable way. This field encompasses text generation, translation, and sentiment analysis applications, significantly impacting industries… Read More »Abacus AI Releases Smaug-Llama-3-70B-Instruct: The New Benchmark in Open-Source Conversational AI Rivaling GPT-4 Turbo Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLM watermarking embeds subtle, detectable signals in AI-generated text to identify its origin, addressing misuse concerns like impersonation, ghostwriting, and fake news. Despite its promise to distinguish humans from AI text and prevent misinformation, the field faces challenges. The numerous and complex watermarking algorithms,… Read More »MARKLLM: An Open-Source Toolkit for LLM Watermarking Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The expansion of question-answering (QA) systems driven by artificial intelligence (AI) results from the increasing demand for financial data analysis and management. In addition to bettering customer service, these technologies aid in risk management and provide individualized stock suggestions. Accurate and useful replies to… Read More »FinTextQA: A Long-Form Question Answering LFQA Dataset Specifically Designed for the Financial Domain Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” By utilizing language thinking, Large Vision-Language Models (VLMs) have demonstrated remarkable capabilities as adaptable agents that can solve a wide range of tasks. A good way to improve VLM performance is to fine-tune them with specific visual instruction-following data. Their performance is greatly enhanced… Read More »Researchers from UC Berkeley, UIUC, and NYU Developed an Algorithmic Framework that Uses Reinforcement Learning (RL) to Optimize Vision-Language Models (VLMs) Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generative AI (Gen AI), capable of producing robust content based on input, is poised to impact various sectors like science, economy, education, and the environment. Extensive socio-technical research aims to understand the broad implications, acknowledging risks and opportunities. A debate surrounds the openness of… Read More »Toward Responsible Innovation: Evaluating Risks and Opportunities in Open Generative AI Mohammad Asjad Artificial Intelligence Category – MarkTechPost