​[[{“value”:” Multi-agent systems (MAS) are pivotal in artificial intelligence, enabling multiple agents to work collaboratively to solve intricate tasks. These systems are designed to function in dynamic and unpredictable environments, addressing data analysis, process automation, and decision-making tasks. By incorporating advanced frameworks and leveraging large… Read More »This AI Paper Introduces ROMAS: A Role-Based Multi-Agent System for Efficient Database Monitoring and Planning Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Current datasets used to train and evaluate AI-based mathematical assistants, particularly LLMs, are limited in scope and design. They often focus on undergraduate-level mathematics and rely on binary rating protocols, making them unsuitable for evaluating complex proof-based reasoning comprehensively. These datasets lack representation of… Read More »Redesigning Datasets for AI-Driven Mathematical Discovery: Overcoming Current Limitations and Enhancing Workflow Representation Sana Hassan Artificial Intelligence Category – MarkTechPost

​Artificial intelligence (AI) research, particularly in the machine learning (ML) domain, continues to increase the amount of attention it receives worldwide. Artificial intelligence (AI) research, particularly in the machine learning (ML) domain, continues to increase the amount of attention it receives worldwide.  Read More  

​[[{“value”:” Training large language models (LLMs) models has become a significant expense for businesses. For many use cases, companies are looking to use LLM foundation models (FM) with their domain-specific data. However, companies are discovering that performing full fine tuning for these models with their… Read More »PEFT fine tuning of Llama 3 on SageMaker HyperPod with AWS Trainium Georgios Ioannides AWS Machine Learning Blog

​[[{“value”:” 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 navigate through 2024, AI has evolved from a futuristic concept to an indispensable business tool, offering unprecedented capabilities in… Read More »Top 25 AI Tools for Increasing Sales in 2025 Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” 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 particularly evident in complex scenarios such as mathematical problem-solving, embodied agent control, and web navigation. Traditional Reinforcement Learning (RL)… Read More »Meet OREO (Offline REasoning Optimization): An Offline Reinforcement Learning Method for Enhancing LLM Multi-Step Reasoning Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have demonstrated remarkable similarities to human cognitive processes’ ability to form abstractions and adapt to new situations. Just as humans have historically made sense of complex experiences through fundamental concepts like physics and mathematics, autoregressive transformers now show comparable capabilities… Read More »Why Do Task Vectors Exist in Pretrained LLMs? This AI Research from MIT and Improbable AI Uncovers How Transformers Form Internal Abstractions and the Mechanisms Behind in-Context Learning (ICL) Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” 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 involves converting large text corpora into “who-did-what-to-whom” event data, which requires extensive domain expertise and computational knowledge. While… Read More »ConfliBERT: A Domain-Specific Language Model for Political Violence Event Detection and Classification Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The widespread use of large-scale language models (LLMs) in safety-critical areas has brought forward a crucial challenge: how to ensure their adherence to clear ethical and safety guidelines. Existing alignment techniques, such as supervised fine-tuning (SFT) and reinforcement learning from human feedback (RLHF), have… Read More »OpenAI Researchers Propose ‘Deliberative Alignment’: A Training Approach that Teaches LLMs to Explicitly Reason through Safety Specifications before Producing an Answer Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” 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 human emotion and intent. These systems often focus on accuracy in tasks like transcription or… Read More »Hume AI Introduces OCTAVE: A Next-Generation Speech-Language Model with New Emergent Capabilities like On-The-Fly Voice and Personality Creation Asif Razzaq Artificial Intelligence Category – MarkTechPost