The rapid growth of digital platforms has brought image safety into sharp focus. Harmful imagery—ranging from explicit content to depictions […]
Category: Large Language Model
Researchers from Fudan University and Shanghai AI Lab Introduces DOLPHIN: A Closed-Loop Framework for Automating Scientific Research with Iterative Feedback
Artificial Intelligence (AI) is revolutionizing how discoveries are made. AI is creating a new scientific paradigm with the acceleration of […]
What are Large Language Model (LLMs)?
Understanding and processing human language has always been a difficult challenge in artificial intelligence. Early AI systems often struggled to […]
SepLLM: A Practical AI Approach to Efficient Sparse Attention in Large Language Models
Large Language Models (LLMs) have shown remarkable capabilities across diverse natural language processing tasks, from generating text to contextual reasoning. […]
This AI Paper Explores Embodiment, Grounding, Causality, and Memory: Foundational Principles for Advancing AGI Systems
Artificial General Intelligence (AGI) seeks to create systems that can perform various tasks, reasoning, and learning with human-like adaptability. Unlike […]
Google AI Just Released TimesFM-2.0 (JAX and Pytorch) on Hugging Face with a Significant Boost in Accuracy and Maximum Context Length
Time-series forecasting plays a crucial role in various domains, including finance, healthcare, and climate science. However, achieving accurate predictions remains […]
Microsoft AI Introduces rStar-Math: A Self-Evolved System 2 Deep Thinking Approach that Significantly Boosts the Math Reasoning Capabilities of Small LLMs
Mathematical problem-solving has long been a benchmark for artificial intelligence (AI). Solving math problems accurately requires not only computational precision […]
Can LLMs Design Good Questions Based on Context? This AI Paper Evaluates Questions Generated by LLMs from Context, Comparing Them to Human-Generated Questions
Large Language Models (LLMs) are used to create questions based on given facts or context, but understanding how good these […]
This AI Paper from Walmart Showcases the Power of Multimodal Learning for Enhanced Product Recommendations
In the rapid advancement of personalized recommendation systems, leveraging diverse data modalities has become essential for providing accurate and relevant […]
Meet KaLM-Embedding: A Series of Multilingual Embedding Models Built on Qwen2-0.5B and Released Under MIT
Multilingual applications and cross-lingual tasks are central to natural language processing (NLP) today, making robust embedding models essential. These models […]