Can LLMs Visualize Graphics? Assessing Symbolic Program Understanding in AI Sajjad Ansari Artificial Intelligence Category – MarkTechPost

[[{“value”:” Large language models (LLMs) have demonstrated the ability to generate generic computer programs, providing an understanding of program structure. However, it is challenging to find the true capabilities of LLMs, especially in finding tasks they did not see during training. It is crucial to… Read More »Can LLMs Visualize Graphics? Assessing Symbolic Program Understanding in AI Sajjad Ansari Artificial Intelligence Category – MarkTechPost

Harvard and Google Researchers Developed a Novel Communication Learning Approach to Enhance Decision-Making in Noisy Restless Multi-Arm Bandits Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” The application of RL to problems in complex decision-making, particularly in situations with limited resources and uncertain outcomes, has recently become very useful. In the varied applications of RL, what distinguishes Restless Multi-Arm Bandits (RMABs) is their solution to multi-agent resource allocation problems. RMAB… Read More »Harvard and Google Researchers Developed a Novel Communication Learning Approach to Enhance Decision-Making in Noisy Restless Multi-Arm Bandits Asif Razzaq Artificial Intelligence Category – MarkTechPost

[[{“value”:” The multi-scale difficulty of designing new alloys calls for a comprehensive strategy, as this procedure includes gathering pertinent information, using advanced computational methods, running experimental validations, and carefully examining the results. Because the tasks involved in this complex workflow are intricate, it has traditionally… Read More »AtomAgents: A Multi-Agent AI System to Autonomously Design Metallic Alloys Tanya Malhotra Artificial Intelligence Category – MarkTechPost

[[{“value”:” Hardware manufacturers must follow rules and regulations called “hardware safety compliance” to ensure their goods aren’t harmful to people or the environment. Typical areas covered by these rules include product design, production, testing, and labeling, though they differ by country and sector. The existing… Read More »Saphira AI: An AI Platform that Revolutionizes Hardware Safety Compliance Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

[[{“value”:” Learning by doing is the best way to master essential skills for becoming a machine learning engineer. Instead of just focusing on simple classification and regression models. In this blog, we will focus on advanced machine learning projects that will impact your resume and… Read More »7 Machine Learning Projects That Can Add Value to Any Resume Abid Ali Awan MachineLearningMastery.com

[[{“value”:” Accurately modeling nonlinear dynamical systems using observable data remains a significant challenge across various fields such as fluid dynamics, climate science, and mechanical engineering. Traditional linear approximation methods often fall short in capturing the complex behaviors exhibited by these systems, leading to inaccurate predictions… Read More »ETH Zurich Researchers Introduce Data-Driven Linearization DDL: A Novel Algorithm in Systematic Linearization for Dynamical Systems Aswin Ak Artificial Intelligence Category – MarkTechPost

[[{“value”:” The evaluation of legal knowledge in large language models (LLMs) has primarily focused on English-language contexts, with benchmarks like MMLU and LegalBench providing foundational methodologies. However, the assessment of Arabic legal knowledge remained a significant gap. Previous efforts involved translating English legal datasets and… Read More »ArabLegalEval: A Multitask AI Benchmark Dataset for Assessing the Arabic Legal Knowledge of LLMs Shoaib Nazir Artificial Intelligence Category – MarkTechPost

[[{“value”:” Deep learning models typically represent knowledge statically, making adapting to evolving data needs and concepts challenging. This rigidity necessitates frequent retraining or fine-tuning to incorporate new information, which could be more practical. The research paper “Towards Flexible Perception with Visual Memory” by Geirhos et… Read More »Google DeepMind Researchers Propose a Dynamic Visual Memory for Flexible Image Classification Shreya Maji Artificial Intelligence Category – MarkTechPost

[[{“value”:” LLMs have revolutionized artificial intelligence, particularly natural language processing and software engineering. Models useful for specific tasks such as generating, understanding, and translating text are being integrated into many applications. Because of their nature, LLMs, like OpenAI’s ChatGPT and GPT-4, have interacted extensively with… Read More »Understanding the 27 Unique Challenges in Large Language Model Development: An Empirical Study of Over 29,000 Developer Forum Posts and 54% Unresolved Issues Asif Razzaq Artificial Intelligence Category – MarkTechPost