OpenAI’s GPT-4o represents a new milestone in multimodal AI: a single model capable of generating fluent text and high-quality images
Reinforcement Learning RL has become a widely used post-training method for LLMs, enhancing capabilities like human alignment, long-term reasoning, and
Large Multimodal Models (LMMs) have demonstrated remarkable capabilities when trained on extensive visual-text paired data, advancing multimodal understanding tasks significantly.
In this tutorial, we built a powerful and interactive AI application that generates startup pitch ideas using Google’s Gemini Pro
Marine robotic platforms support various applications, including marine exploration, underwater infrastructure inspection, and ocean environment monitoring. While reliable perception systems
LLMs have demonstrated strong general-purpose performance across various tasks, including mathematical reasoning and automation. However, they struggle in domain-specific applications
Large language models are often praised for their linguistic fluency, but a growing area of focus is enhancing their reasoning
In this tutorial, we’ll build a fully functional Retrieval-Augmented Generation (RAG) pipeline using open-source tools that run seamlessly on Google
Robots are increasingly being developed for home environments, specifically to enable them to perform daily activities like cooking. These tasks
Tactile sensing is a crucial modality for intelligent systems to perceive and interact with the physical world. The GelSight sensor