Although rapid generative AI advancements are revolutionizing organizational natural language processing tasks, developers and data scientists face significant challenges customizing…
Machine Learning
In the telecommunications industry, managing complex network infrastructures requires processing vast amounts of data from multiple sources. Network engineers often…
State-Space Models (SSMs), and particularly Mamba, have recently emerged as a promising alternative to Transformers. Mamba introduces input selectivity to…
The recent rapid adoption of large language models (LLMs) highlights the critical need for benchmarking their fairness. Conventional fairness metrics,…
People who are blind or have low vision (BLV) may hesitate to travel independently in unfamiliar environments due to uncertainty…
Recent works have shown a surprising result: a small fraction of Large Language Model (LLM) parameter outliers are disproportionately important…
Just as APIs became the standard for integration, AI agents are transforming workflow automation through intelligent task coordination. AI agents…
Generative AI has revolutionized customer interactions across industries by offering personalized, intuitive experiences powered by unprecedented access to information. This…
Imitation learning for manipulation has a well-known data scarcity problem. Unlike natural language and 2D computer vision, there is no…
In the pharmaceutical industry, biotechnology and healthcare companies face an unprecedented challenge for efficiently managing and analyzing vast amounts of…
Organizations want direct answers to their business questions without the complexity of writing SQL queries or navigating through business intelligence…
Generative AI has been moving at a rapid pace, with new tools, offerings, and models released frequently. According to Gartner,…
Organizations face the challenge to manage data, multiple artificial intelligence and machine learning (AI/ML) tools, and workflows across different environments,…
With the rapid scaling of large language models (LLMs), structured pruning has become a widely used technique to learn efficient,…
Creating professional AWS architecture diagrams is a fundamental task for solutions architects, developers, and technical teams. These diagrams serve as…
To effectively convey complex information, organizations increasingly rely on visual documentation through diagrams, charts, and technical illustrations. Although text documents…
Amazon SageMaker Inference has been a popular tool for deploying advanced machine learning (ML) and generative AI models at scale.…
Managing and optimizing AWS infrastructure costs is a critical challenge for organizations of all sizes. Traditional cost analysis approaches often…
In recent years, there have been remarkable breakthroughs in image-to-video generation. However, the 3D consistency and camera controllability of generated…
As language models support larger and larger context sizes, evaluating their ability to make effective use of that context becomes…