Deciphering Doubt: Navigating Uncertainty in LLM Responses
This paper explores the domain of uncertainty quantification within large language models (LLMs) to identify scenarios where uncertainty in response to queries is significant. The study encompasses both epistemic and…
The Missing Piece: Combining Foundation Models and Open-Endedness for Artificial Superhuman Intelligence ASI
Recent advances in artificial intelligence, primarily driven by foundation models, have enabled impressive progress. However, achieving artificial general intelligence, which involves reaching human-level performance across various tasks, remains a significant…
DiffUCO: A Diffusion Model Framework for Unsupervised Neural Combinatorial Optimization
Sampling from complex, high-dimensional target distributions, such as the Boltzmann distribution, is crucial in many scientific fields. For instance, predicting molecular configurations depends on this type of sampling. Combinatorial Optimization…
Whisper WebGPU: Real-Time in-Browser Speech Recognition with OpenAI Whisper
Achieving real-time speech recognition directly within a web browser has long been a sought-after milestone. Whisper WebGPU by a Hugging Face Engineer (nickname ‘Xenova’) is a groundbreaking technology that leverages…
Breaking the Language Barrier for All: Sparsely Gated MoE Models Bridge the Gap in Neural Machine Translation
Machine translation, a critical area within natural language processing (NLP), focuses on developing algorithms to automatically translate text from one language to another. This technology is essential for breaking down…
List of Activities and Their Corresponding Suitable LLMs in the Artificial Intelligence AI World Right Now: A Comprehensive Guide
Choosing large language models (LLMs) tailored for specific tasks is crucial for maximizing efficiency and accuracy. With natural language processing (NLP) advancements, different models have emerged, each excelling in unique…
FusOn-pLM: Advancing Precision Therapy for Fusion Oncoproteins through Enhanced Protein Language Modeling
Fusion oncoproteins, formed by chromosomal translocations, are key drivers in many cancers, especially pediatric ones. These chimeric proteins are difficult to target with drugs due to their large, disordered structures…
Top Artificial Intelligence AI Courses by Microsoft
Microsoft’s AI courses offer comprehensive coverage of AI and machine learning concepts for all skill levels, providing hands-on experience with tools like Azure Machine Learning and Dynamics 365 Commerce. They…
Taming Long Audio Sequences: Audio Mamba Achieves Transformer-Level Performance Without Self-Attention
Audio classification has evolved significantly with the adoption of deep learning models. Initially dominated by Convolutional Neural Networks (CNNs), this field has shifted towards transformer-based architectures, which offer improved performance…
Sharpening LLMs: The Sharpest Tools and Essential Techniques for Precision and Clarity
The ability to discern relevant and essential information from noise is paramount in AI, particularly within large language models (LLMs). With the surge of information and the complexity of tasks,…