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AI has seen significant progress in coding, mathematics, and reasoning tasks. These advancements are driven largely by the increased use of large language models (LLMs), essential…
Recent advancements in medical multimodal large language models (MLLMs) have shown significant progress in medical decision-making. However, many models, such as Med-Flamingo and LLaVA-Med, are designed…
In this article, I present a project on Crop Yield Prediction and Irrigation Optimization using deep learning techniques.Deep learning is a powerful approach for multivariate analysis,…
The key steps in the workflow lie in structuring the transcript in paragraphs (step 2) before grouping the paragraphs into chapters from which a table of…
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…