Large language models have shown notable achievements in executing instructions, multi-turn conversations, and image-based question-answering tasks. These models include Flamingo, GPT-4V, and Gemini. The fast development of open-source Large Language Models, such as...

Light is studied in two essential components:  amplitude and phase. However, optical detectors that rely on photon-to-electron conversion face problems capturing the phase due to their restricted sampling frequency. The limitation they face is that while they can...

Automated Machine Learning (AutoML) has been introduced to address the pressing need for proactive and continual learning in content moderation defenses on the LinkedIn platform. It is a framework for automating the entire machine-learning process, specifically...

Multimodal learning involves creating systems capable of interpreting and processing diverse data inputs like visual and textual information. Integrating different data types in AI presents unique challenges and opens doors to a more nuanced understanding and...

Large Language Models (LLMs), renowned for their foundational capabilities like commonsense reasoning and coherent language generation, have been fine-tuned for domain-specific tasks such as code generation and mathematical problem-solving. This trend has led to...

Large Language Models (LLMs) have transformed the field of Natural Language Processing (NLP) and the way humans interact with machines. From question answering and text generation to text summarization and code completion, these models have extended their capabilities...