​[[{“value”:” Multi-agent planning for mixed human-robot environments faces significant challenges. Current methodologies, often relying on data-driven human motion prediction and hand-tuned costs, struggle with long-term reasoning and complex interactions. Researchers aim to solve two primary issues: developing human-compatible strategies without clear equilibrium concepts and generating… Read More »NYU Researchers Open-Sourced GPUDrive: A GPU-Accelerated Multi-Agent Driving Simulation at 1 Million FPS Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In computer science, code efficiency and correctness are paramount. Software engineering and artificial intelligence heavily rely on developing algorithms and tools that optimize program performance while ensuring they function correctly. This involves creating functionally accurate code and ensuring it runs efficiently, using minimal computational… Read More »ECCO: A Reproducible AI Benchmark for Evaluating Program Efficiency via Two Paradigms- Natural Language (NL) based Code Generation and History-based Code Editing Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” It is a hassle to spin up AI workloads on the cloud. The lengthy training process involves installing several low-level dependencies, which might lead to infamous CUDA failures. It also consists of attaching persistent storage, waiting for the system to boot up for 20… Read More »Meet Felafax: An AI Startup Building an Open-Source AI Platform for Next-Generation AI Hardware, Reducing Machine Learning ML Training Costs by 30% Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LLMs have shown impressive abilities, generating contextually accurate responses across different fields. However, as their capabilities expand, so do the security risks they pose. While ongoing research has focused on making these models safer, the issue of “jailbreaking”—manipulating LLMs to act against their intended… Read More »Securing Function Calls in LLMs: Unveiling and Mitigating Jailbreak Vulnerabilities Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” As AI models become more integrated into clinical practice, assessing their performance and potential biases towards different demographic groups is crucial. Deep learning has achieved remarkable success in medical imaging tasks, but research shows these models often inherit biases from the data, leading to… Read More »AI in Medical Imaging: Balancing Performance and Fairness Across Populations Mahmoud Ghorbel Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Mathematics is crucial in data science as it underpins algorithms and models used for data analysis and prediction. It helps understand data patterns, optimize solutions, and make informed decisions. Learning math is, therefore, essential for mastering statistical methods, machine learning techniques, and effective problem-solving… Read More »Top Mathematics Courses for Data Science/ AI Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Developing efficient language model-based agents is crucial for various applications, from virtual assistants to automated customer service. However, creating these agents can be complex and resource-intensive. One can face challenges in integrating different models, managing actions, and ensuring seamless operation of these intelligent systems.… Read More »Lagent: A Lightweight Open-Source Python Framework that Allows Users to Efficiently Build Large Language Model (LLM)-Based Agents Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have made significant progress in following instructions and responding to user queries. However, the current instruction tuning process faces major challenges. Acquiring human-generated data for training these models is expensive and time-consuming. Moreover, the quality of such data is limited… Read More »Meta-Rewarding LLMs: A Self-Improving Alignment Technique Where the LLM Judges Its Own Judgements and Uses the Feedback to Improve Its Judgment Skills Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial Intelligence (AI) has rapidly advanced, revolutionizing various sectors by performing tasks that require human intelligence, such as learning, reasoning, and problem-solving. Improvements in machine learning algorithms, computational capabilities, and the availability of large datasets drive these advancements. Despite the progress, the field faces… Read More »Model Openness Framework (MOF): Enhancing AI Transparency with 17 Essential Components for Full Lifecycle Openness and Reproducibility Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Open-source libraries facilitated RAG pipeline creation but lacked comprehensive training and evaluation capabilities. Proposed frameworks for RAG-based large language models (LLMs) omitted crucial training components. Novel approaches, such as treating LLM prompting as a programming language, emerged but introduced complexity. Evaluation methodologies using synthetic… Read More »Intel Labs Introduce RAG Foundry: An Open-Source Python Framework for Augmenting Large Language Models LLMs for RAG Use Cases Shoaib Nazir Artificial Intelligence Category – MarkTechPost