​[[{“value”:” New AI applications and breakthroughs constantly cause the market to flourish. However, the need for more openness in existing models is a big roadblock to AI’s broad use. Considered “black boxes,” these models pose challenges in terms of debugging and compatibility with human values,… Read More »Meet Guide Labs: An AI Research Startup Building Interpretable Foundation Models that can Reliably Explain their Reasoning Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs), the engines behind AI’s understanding and generation of human-like text, have made leaps forward in mimicking human interactions. These advancements have broad applications, from automating customer service to crafting content. Yet, the challenge remains in fine-tuning these models to accurately… Read More »Alibaba Researchers Propose Reward Learning on Policy (RLP): An Unsupervised AI Framework that Refines a Reward Model Using Policy Samples to Keep it on-Distribution Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” AI’s integration into healthcare is reshaping the landscape through various critical roles. It aids in disease diagnosis and detection by analyzing medical images like X-rays and MRIs, increasing accuracy and supporting healthcare professionals in making informed decisions. In precision medicine, AI’s analysis of patient… Read More »10 Artificial Intelligence (AI) Applications/Platforms In Healthcare Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Solving partial differential equations (PDEs) is complex, just like the events they explain. These equations help determine how things change over space and time, and they’re used to model everything from tiny quantum interactions to huge space phenomena. Earlier methods of solving these equations… Read More »SineNet by Texas A&M University and the University of Pittsburgh Innovates PDE Solutions: Addressing Temporal Misalignment in Fluid Dynamics Through Deep Learning Adnan Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Natural Language Processing (NLP) has taken over the field of Artificial Intelligence (AI) with the introduction of Large Language Models (LLMs) such as OpenAI’s GPT-4. These models use massive training on large datasets to predict the next word in a sequence, and they improve… Read More »Researchers at Stanford and Databricks Open-Sourced BioMedLM: A 2.7 Billion Parameter GPT-Style AI Model Trained on PubMed Text Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Have you ever wondered what it would be like to have a super-intelligent AI assistant who not only has vast knowledge but also understands and respects your values, ethics, and preferences? A team of researchers may have cracked the code on making this sci-fi… Read More »Teaching SOLAR to Shine: How Upstage AI’s sDPO Aligns Language Models with Human Values Vineet Kumar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” While the internet is brimming with information, consolidating this data into a clear, organized, and comprehensive overview takes a lot of work. This often results in frustration and a significant expenditure of time for those searching for answers. Answer engines have been the go-to… Read More »Meet Deep-Seek: An Open Source Research Agent Designed as an Internet Scale Retrieval Engine Niharika Singh Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the rapidly evolving world of technology and artificial intelligence, a new development has emerged that promises to impact the Python and AI communities significantly. Modular, a pioneering tech firm, has announced the open-sourcing of Mojo, a programming language designed to enhance Python’s capabilities,… Read More »Modular Open-Sources Mojo: The Programming Language that Turns Python into a Beast Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” In the realm of 3D scene understanding, a significant challenge arises from the irregular and scattered nature of 3D point clouds, which diverge significantly from the densely and uniformly arranged pixels in images. To address this, various feature extraction methods have emerged: point-based networks… Read More »OA-CNNs: A Family of Networks that Integrates a Lightweight Module to Greatly Enhance the Adaptivity of Sparse Convolutional Neural Networks CNNs at Minimal Computational Cost Mohammad Arshad Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Tasks like creating documents, developing complex code, answering queries, and conducting human-like conversations are where large language models like ChatGPT shine. As LLMs find more and more uses across many different types of tasks, fine-tuning them for certain domains has become an important tactic… Read More »Layerwise Importance Sampled AdamW (LISA): A Machine Learning Optimization Algorithm that Randomly Freezes Layers of LLM Based on a Given Probability Dhanshree Shripad Shenwai Artificial Intelligence Category – MarkTechPost