The study of evolution by natural selection at the molecular level has advanced significantly with the advent of genomic technologies. Traditionally, researchers have focused on observable traits like flowering time or growth. However, gene expression provides an intermediate phenotype that connects genomic data to these macroscopic traits, offering a deeper understanding of selection pressures. In… →

The vulnerability of AI systems, particularly large language models (LLMs) and multimodal models, to adversarial attacks can lead to harmful outputs. These models are designed to assist and provide helpful responses, but adversaries can manipulate them to produce undesirable or even dangerous outputs. The attacks exploit inherent weaknesses in the models, raising concerns about their… →

Large Language Models (LLMs) have become an essential tool in artificial intelligence, primarily due to their generative capabilities and ability to follow user instructions effectively. These features make LLMs ideal for developing chatbots that interact seamlessly with users. However, the text-based nature of LLMs has limited chatbots to text-only interactions.  In recent years, significant efforts… →

China’s Kuaishou Technology has created a buzz in text-to-video generation with its groundbreaking Kling AI video model. This advanced text-to-video generation model is revolutionizing the industry by producing highly realistic videos from simple text prompts, setting a new benchmark in AI-driven video creation. High-Quality Video Generation Kling AI stands out for its ability to create… →

Omost is an innovative project designed to enhance the image generation capabilities of large language models (LLMs) by converting their coding proficiency into advanced image composition skills. Pronounced, “almost,” the name Omost symbolizes two key ideas: first, after using Omost, the image will be “almost” perfect; second, “O” stands for “omni” (multi-modal), and “most” signifies… →

Large Language Models (LLMs) have revolutionized Natural Language Processing (NLP), particularly in Question Answering (QA). However, hallucination remains a significant obstacle as LLMs may generate factually inaccurate or ungrounded responses. Studies reveal that even state-of-the-art models like GPT-4 struggle with accurately answering questions involving changing facts or less popular entities. Overcoming hallucinations is crucial for… →

Natural language processing (NLP) involves using algorithms to understand and generate human language. It is a subfield of artificial intelligence that aims to bridge the gap between human communication and computer understanding. This field covers language translation, sentiment analysis, and language generation, providing essential tools for technological advancements and human-computer interaction. NLP’s ultimate goal is… →

We all know AI is getting smarter every day, but you’ll never guess what these researchers just accomplished. A team from the University of Illinois has unleashed AI agents that can autonomously hack websites and exploit real-world zero-day vulnerabilities – security holes that even the developers don’t know about yet. That’s right, the age of… →

Pre-trained language model development has advanced significantly in recent years, especially with the advent of large-scale models. For languages such as English, there is no shortage of open-source chat models. However, the Chinese language has not seen equivalent progress. To bridge this gap, several Chinese models have been introduced, showcasing innovative approaches and achieving remarkable… →