​[[{“value”:” 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 and lack of distinct binding pockets. Traditional drug design methods, like small molecules, often… Read More »FusOn-pLM: Advancing Precision Therapy for Fusion Oncoproteins through Enhanced Protein Language Modeling Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” 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 emphasize practical applications, advanced techniques, and responsible AI practices, equipping learners to develop and… Read More »Top Artificial Intelligence AI Courses by Microsoft Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” 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 and the ability to handle various tasks through a unified approach. Transformers surpass CNNs… Read More »Taming Long Audio Sequences: Audio Mamba Achieves Transformer-Level Performance Without Self-Attention Nikhil Artificial Intelligence Category – MarkTechPost

​[[{“value”:” 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, there’s a need for efficient mechanisms to enhance the performance and reliability of these… Read More »Sharpening LLMs: The Sharpest Tools and Essential Techniques for Precision and Clarity Aswin Ak Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Monte Carlo (MC) methods rely on repeated random sampling, so they are widely utilized for simulating and approximating complicated real-world systems. These techniques work especially well for financial mathematics, numerical integration, and optimization issues, particularly those about risk and derivative pricing. However, for complex… Read More »Message-Passing Monte Carlo (MPMC): A New State-of-the-Art Machine Learning Model that Generates Low-Discrepancy Points Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Chain-of-Thought (CoT) reasoning enhances the capabilities of LLMs, allowing them to perform more complex reasoning tasks. Despite being primarily trained for next-token prediction, LLMs can generate detailed steps in their responses when prompted to explain their thought process. This ability, which resembles logical reasoning,… Read More »Unveiling Chain-of-Thought Reasoning: Exploring Iterative Algorithms in Language Models Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Zyphra announced the release of Zyda, a groundbreaking 1.3 trillion-token open dataset for language modeling. This innovative dataset is set to redefine the standards of language model training and research, offering an unparalleled combination of size, quality, and accessibility. Zyda amalgamates several high-quality open… Read More »Zyphra Introduces Zyda Dataset: A 1.3 Trillion Token Dataset for Open Language Modeling Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have revolutionized code generation, but their autoregressive nature poses a significant challenge. These models generate code token by token, without access to the program’s runtime output from the previously generated tokens. This lack of a feedback loop, where the model… Read More »Researchers at UC Berkeley Propose a Neural Diffusion Model that Operates on Syntax Trees for Program Synthesis Mohammad Asjad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Language models (LMs) are designed to reflect a broad range of voices, leading to outputs that don’t perfectly match any single perspective. To avoid generic responses, one can use LLMs through supervised fine-tuning (SFT) or reinforcement learning with human feedback (RLHF). However, these methods… Read More »Demonstration ITerated Task Optimization (DITTO): A Novel AI Method that Aligns Language Model Outputs Directly with User’s Demonstrated Behaviors Sajjad Ansari Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The Qwen Team recently unveiled their latest breakthrough, the Qwen2-72B. This state-of-the-art language model showcases advancements in size, performance, and versatility. Let’s look into the key features, performance metrics, and potential impact of Qwen2-72B on various AI applications. Qwen2-72B is part of the Qwen2… Read More »Meet Qwen2-72B: An Advanced AI Model With 72B Parameters, 128K Token Support, Multilingual Mastery, and SOTA Performance Asif Razzaq Artificial Intelligence Category – MarkTechPost