aiXplain Researchers Develop Innovative Approaches for Arabic Prompt Instruction Following with LLMs

According to Bill Gates, Generative AI like ChatGPT has reached its peak and may not see significant improvements, even with the release of GPT-5. However, Gates acknowledges that he could be wrong. He believes AI will…

Practical Solutions for Time-Series Forecasting with Spiking Neural Networks Efficient Temporal Alignment Properly aligning temporal data is crucial for using SNNs in time-series forecasting. This alignment can be challenging, especially with irregular or noisy data, but…

Understanding Agentic AI’s Reasoning and Decision-Making Overview Agentic AI adds significant value by reasoning in complex environments and making smart decisions with little human help. This article highlights how input is converted into meaningful actions. The…

Enhancing AI Performance: Insights from MIT Research Enhancing AI Performance: Insights from MIT Research Understanding Large Language Models (LLMs) Large language models (LLMs) are increasingly utilized to tackle mathematical problems that reflect real-world reasoning tasks. These…

Practical Solutions and Value of HARP in Multi-Agent Reinforcement Learning Introduction to MARL and Its Challenges Multi-agent reinforcement learning (MARL) focuses on systems where multiple agents collaborate to tackle tasks beyond individual capabilities. It is crucial…

Microsoft researchers developed MAIRA-1, a model combining a chest X-ray-specific image encoder with a fine-tuned language model to generate accurate radiology reports. It leverages data augmentation and evaluation metrics tailored to clinical relevance to improve report…

Bilingual Chat Assistant Implementation In this tutorial, we will implement a Bilingual Chat Assistant using the Meraj-Mini model from Arcee AI. The assistant will be seamlessly deployed on Google Colab using T4 GPU, demonstrating the capabilities…

Introduction to AI Models AI is evolving with the emergence of powerful large language models (LLMs) and multimodal models. This includes both open-source models and proprietary ones. One notable example is DeepSeek-R1, an open-source AI model…

Understanding Feature Representation in Deep Learning Practical Solutions and Value Machine learning research focuses on learning representations for effective task performance. Understanding the relationship between representation and computation is crucial for practical applications. Deep networks with…

Understanding Point Tracking in Video Point tracking is essential for video tasks like 3D reconstruction and editing. It requires accurate point approximation for high-quality results. Recent advancements in tracking technology use transformer and neural network designs…

Practical Solutions with ChatGPT for Recruiters Crafting Engaging Job Descriptions Generate detailed job descriptions efficiently. Personalized Candidate Outreach Create tailored messages to attract top talent. Screening Candidate Resumes Automate resume screening and identify suitable candidates quickly.…

Researchers from System2 Research, the University of Cambridge, Monash University, and Princeton University have developed a fine-tuning approach called “FireAct” for language agents. Their research reveals that fine-tuning language models consistently improves agent performance. The study…

Practical AI Solution: PyramidInfer for Scalable LLM Inference Overview PyramidInfer is a groundbreaking solution that enhances large language model (LLM) inference by efficiently compressing the key-value (KV) cache, reducing GPU memory usage without compromising model performance.…

The development of multimodal AI assistants is on the rise, leveraging Large Language Models (LLMs) for understanding visual and written directions. While current models focus on image-text data, a study from Peking University and Kuaishou Technology…

Researchers from Seoul National University, Seoul National University College of Medicine, and Columbia University have developed an AI-driven camera system that can diagnose obstructive sleep apnoea (OSA) from home. The system, called SlAction, uses infrared videos…

Enhancing Agricultural Resilience through Remote Sensing and AI Modern agriculture faces challenges from climate change, limited water resources, rising production costs, and disruptions like the COVID-19 pandemic. Remote sensing and AI offer innovative solutions to improve…

Large Vision-Language Models (LVLMs), such as GPT-4, exhibit exceptional proficiency in real-world image tasks but struggle with abstract concepts. The introduction of Multimodal ArXiv, including ArXivCap with millions of scientific images and captions, aims to enhance…