As generative AI models advance in creating multimedia content, the difference between good and great output often lies in the details that only human feedback can capture. Audio and video segmentation provides a structured way to gather this detailed feedback, allowing models to learn through reinforcement learning from human feedback (RLHF) and supervised fine-tuning (SFT). …
Large language models (LLMs) give developers immense power and scalability, but managing resource consumption is key to delivering a smooth user experience. LLMs demand significant computational resources, which means it’s essential to anticipate and handle potential resource exhaustion. If not, you might encounter 429 “resource exhaustion” errors, which can disrupt how users interact with your …
Read more “Don’t let resource exhaustion leave your users hanging: A guide to handling 429 errors”
We dive into the most significant takeaways from Microsoft Ignite, and Microsoft’s emerging leadership in the area of AI agents.Read More
Trust between humans and robots is improved when the movement between both is harmonized, researchers have discovered.
It seems simple: The robot ZRob, a small machine easily placed on a table, holds a drumstick and beats a drum. In reality, it is anything but simple. ZRob’s arm has a flexible grip, just like the human wrist. It also has an artificial intelligence (AI) that helps it optimize its movements.
Learn how AI can boost efficiency on your retail marketing efforts in 2025 and beyond.
Recommender systems enhance user experiences in Internet-based applications by recommending items tailored to individual preferences or needs, such as products, services, or content.
In today’s data-intensive business landscape, organizations face the challenge of extracting valuable insights from diverse data sources scattered across their infrastructure. Whether it’s structured data in databases or unstructured content in document repositories, enterprises often struggle to efficiently query and use this wealth of information. In this post, we explore how you can use Amazon …
Your next big customer doesn’t speak your language. In fact, 40% of global consumers won’t even consider buying from websites not in their native tongue. With 51.6% of internet users speaking languages other than English, you’re potentially missing half your market. Until now, enterprises faced an impossible choice in addressing translation use cases. They had …
Read more “Announcing new updates to Cloud Translation AI, now covering 189 languages”
OpenScholar, an innovative AI system by Allen Institute for AI and University of Washington, revolutionizes scientific research by processing 45 million papers instantly, offering researchers citation-backed answers and challenging proprietary AI systems.Read More