​[[{“value”:” Large Language Models (LLMs) have gained significant prominence in recent years, driving the need for efficient GPU utilization in machine learning tasks. However, researchers face a critical challenge in accurately assessing GPU performance. The commonly used metric, GPU Utilization, accessed through nvidia-smi or integrated… Read More »Why GPU Utilization Falls Short: Understanding Streaming Multiprocessor (SM) Efficiency for Better LLM Performance Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” One of the core challenges in semilocal density functional theory (DFT) is the consistent underestimation of band gaps, primarily due to self-interaction and delocalization errors. This issue complicates the prediction of electronic properties and charge transfer mechanisms. Hybrid DFT, incorporating a fraction of exact… Read More »Harvard Researchers Introduce a Machine Learning Approach based on Gaussian Processes that Fits Single-Particle Energy Levels Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” A significant challenge in AI-driven game simulation is the ability to accurately simulate complex, real-time interactive environments using neural models. Traditional game engines rely on manually crafted loops that gather user inputs, update game states, and render visuals at high frame rates, crucial for… Read More »What If Game Engines Could Run on Neural Networks? This AI Paper from Google Unveils GameNGen and Explores How Diffusion Models Are Revolutionizing Real-Time Gaming Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large-scale language models have made significant progress in generative tasks involving multiple-speaker speech synthesis, music generation, and audio generation. The integration of speech modality into multimodal unified large models has also become popular, as seen in models like SpeechGPT and AnyGPT. These advancements are… Read More »WavTokenizer: A Breakthrough Acoustic Codec Model Redefining Audio Compression Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have made remarkable strides in multimodal capabilities, with closed-source models like GPT-4, Claude, and Gemini leading the field. However, the challenge lies in democratizing AI by making these powerful models accessible to a broader audience. The current limitation is the… Read More »LLaVaOLMoBitnet1B: The First Ternary Multimodal LLM Capable of Accepting Image(s) and Text Inputs to Produce Coherent Textual Response Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) have emerged as powerful tools for understanding and generating human-like text. This paper explores the potential of LLMs to shape human perspectives and influence decisions on particular tasks. The researchers investigate using LLMs in persuasion across various domains such as… Read More »The Art of AI Persuasion: A Study on Large Language Model Interactions Shreya Maji Artificial Intelligence Category – MarkTechPost

​[[{“value”:” LAION, a prominent non-profit organization dedicated to advancing machine learning research by developing open and transparent datasets, has recently released Re-LAION 5B. This updated version of the LAION-5B dataset marks a milestone in the organization’s ongoing efforts to ensure the safety and legal compliance… Read More »Re-LAION 5B Dataset Released: Improving Safety and Transparency in Web-Scale Datasets for Foundation Model Research Through Rigorous Content Filtering Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In natural language processing (NLP), handling long text sequences effectively is a critical challenge. Traditional transformer models, widely used in large language models (LLMs), excel in many tasks but must be improved when processing lengthy inputs. These limitations primarily stem from the quadratic computational… Read More »ReMamba: Enhancing Long-Sequence Modeling with a 3.2-Point Boost on LongBench and 1.6-Point Improvement on L-Eval Benchmarks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Text-to-image generation has evolved rapidly, with significant contributions from diffusion models, which have revolutionized the field. These models are designed to produce realistic and detailed images based on textual descriptions, which are vital for applications ranging from personalized content creation to artistic endeavors. The… Read More »CSGO: A Breakthrough in Image Style Transfer Using the IMAGStyle Dataset for Enhanced Content Preservation and Precise Style Application Across Diverse Scenarios Sana Hassan Artificial Intelligence Category – MarkTechPost