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Retrieval-augmented generation (RAG), a technique that enhances the efficiency of large language models (LLMs) in handling extensive amounts of text, is critical in natural language processing,…
Protein engineering is essential for designing proteins with specific functions, but navigating the complex fitness landscape of protein mutations poses a significant challenge, making it hard…
Benchmarking Coding Agents in a World of Apps and PeopleImagine a world where AI agents can act as your personal assistant, completing tasks for you like…
The Chai Discovery team announced the launch of Chai-1, a groundbreaking multi-modal foundation model designed to predict molecular structures with unprecedented accuracy. This release marks a…
In computer vision, backbone architectures are critical in image recognition, object detection, and semantic segmentation tasks. These backbones extract local and global features from images, enabling…
Memory is undoubtedly becoming a crucial aspect of Agentic AI. As the use cases for AI Agents grow in complexity, so does the need for these…
Text-to-image diffusion models have made significant strides in generating complex and faithful images from input conditions. Among these, Diffusion Transformers Models (DiTs) have emerged as particularly…
It’s a common AP challenge that you’ve probably seen before – when it comes to buying goods and services, no two people (or companies) will use…
Large language models (LLMs) have demonstrated remarkable reasoning capabilities across various domains. But do they also possess metacognitive knowledge – an understanding of their thinking processes?…
Computer vision is rapidly transforming industries by enabling machines to interpret and make decisions based on visual data. From autonomous vehicles to medical imaging, its applications…