​[[{“value”:” Artificial intelligence, particularly the development of large language models (LLMs), has been rapidly advancing, focusing on improving these models’ reasoning capabilities. As AI systems are increasingly tasked with complex problem-solving, it is crucial that they not only generate accurate solutions but also possess the… Read More »Critic-CoT: A Novel Framework Enhancing Self-Critique and Reasoning Capabilities in Large Language Models for Improved AI Accuracy and Reliability Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Artificial intelligence (AI) has witnessed rapid advancements over the past decade, with significant strides in NLP, machine learning, and deep learning. Among the latest and most notable developments is the release of Llama-3.1-Storm-8B by Ashvini Kumar Jindal and team. This new AI model represents… Read More »Llama-3.1-Storm-8B: A Groundbreaking AI Model that Outperforms Meta AI’s Llama-3.1-8B-Instruct and Hermes-3-Llama-3.1-8B Models on Diverse Benchmarks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Generating image descriptions is a common requirement for applications across many industries. One common use case is tagging images with descriptive metadata to improve discoverability within an organization’s content repositories. Ecommerce platforms also use automatically generated image descriptions to provide customers with additional product… Read More »Build a generative AI image description application with Anthropic’s Claude 3.5 Sonnet on Amazon Bedrock and AWS CDK Dinesh Sajwan AWS Machine Learning Blog

​[[{“value”:” CausalLM has released miniG, a groundbreaking language model designed to bridge the gap between performance & efficiency. This innovative model stands out for its powerful capabilities and compact design, making advanced AI technology more accessible to a wider audience. As industries increasingly seek cost-effective… Read More »miniG Released by CausalLM: A Groundbreaking Scalable AI-Language Model Trained on a Synthesis Dataset of 120 Million Entries Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Harnessing the power of big data has become increasingly critical for businesses looking to gain a competitive edge. From deriving insights to powering generative artificial intelligence (AI)-driven applications, the ability to efficiently process and analyze large datasets is a vital capability. However, managing the… Read More »Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless Raj Ramasubbu AWS Machine Learning Blog

​[[{“value”:” The success of ANNs stems from mimicking simplified brain structures. Neuroscience reveals that neurons interact through various connectivity patterns, known as circuit motifs, which are crucial for processing information. However, most ANNs only model one or two such motifs, limiting their performance across different… Read More »CircuitNet: A Brain-Inspired Neural Network Architecture for Enhanced Task Performance Across Diverse Domains Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“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