​[[{“value”:” Quantum computers are a revolutionary technology that harnesses the principles of quantum mechanics to perform calculations that would be infeasible for classical computers. Evaluating the performance of quantum computers has been a challenging task due to their sensitivity to noise, the complexity of quantum… Read More »Google AI Research Examines Random Circuit Sampling (RCS) for Evaluating Quantum Computer Performance in the Presence of Noise Pragati Jhunjhunwala Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large language models (LLMs) have evolved to become powerful tools capable of understanding and responding to user instructions. Based on the transformer architecture, these models predict the next word or token in a sentence, generating responses with remarkable fluency. However, they typically respond without… Read More »Thinking LLMs: How Thought Preference Optimization Transforms Language Models to Perform Better Across Logic, Marketing, and Creative Tasks Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Despite the vast accumulation of genomic data, the RNA regulatory code must still be better understood. Genomic foundation models, pre-trained on large datasets, can adapt RNA representations for biological prediction tasks. However, current models rely on training strategies like masked language modeling and next… Read More »Orthrus: A Mamba-based RNA Foundation Model Designed to Push the Boundaries of RNA Property Prediction Sana Hassan Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Large Language Models (LLMs) need to be evaluated within the framework of embodied decision-making, i.e., the capacity to carry out activities in either digital or physical environments. Even with all of the research and applications that LLMs have seen in this field, there is… Read More »Embodied Agent Interface: An AI Framework for Benchmarking Large Language Models (LLMs) for Embodied Decision Making Tanya Malhotra Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The ever-increasing size of Large Language Models (LLMs) presents a significant challenge for practical deployment. Despite their transformative impact on natural language processing, these models are often hindered by high memory transfer requirements, which pose a bottleneck during autoregressive generation. This results in high… Read More »SeedLM: A Post-Training Compression Method that Uses Pseudo-Random Generators to Efficiently Encode and Compress LLM Weights Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The increasing reliance on machine learning models for processing human language comes with several hurdles, such as accurately understanding complex sentences, segmenting content into comprehensible parts, and capturing the contextual nuances present in multiple domains. In this landscape, the demand for models capable of… Read More »Google AI Introduces Gemma-APS: A Collection of Gemma Models for Text-to-Propositions Segmentation Shobha Kakkar Artificial Intelligence Category – MarkTechPost

​[[{“value”:” Conducting assessments on application portfolios that need to be migrated to the cloud can be a lengthy endeavor. Despite the existence of AWS Application Discovery Service or the presence of some form of configuration management database (CMDB), customers still face many challenges. These include… Read More »Accelerate migration portfolio assessment using Amazon Bedrock Ebbey Thomas AWS Machine Learning Blog

​[[{“value”:” Bias in AI-powered systems like chatbots remains a persistent challenge, particularly as these models become more integrated into our daily lives. A pressing issue concerns biases that can manifest when chatbots respond differently to users based on name-related demographic indicators, such as gender or… Read More »A New Study by OpenAI Explores How Users’ Names can Impact ChatGPT’s Responses Asif Razzaq Artificial Intelligence Category – MarkTechPost

​[[{“value”:” The rapid growth of large language models (LLMs) and their increasing computational requirements have prompted a pressing need for optimized solutions to manage memory usage and inference speed. As models like GPT-3, Llama, and other large-scale architectures push the limits of GPU capacity, efficient… Read More »Neural Magic Unveils Machete: A New Mixed-Input GEMM Kernel for NVIDIA Hopper GPUs Asif Razzaq Artificial Intelligence Category – MarkTechPost