Large Language Models (LLMs) and multi-modal counterparts (MLLMs), crucial in advancing artificial general intelligence (AGI), face issues while dealing with visual mathematical problems, especially where geometric figures and spatial relationships are involved. While advances have been made through techniques for vision-language integration and text-based mathematical problem-solving, progress in the multi-modal mathematical domain has been limited.
A…
Snowflake has announced the release of its latest text embedding model, snowflake-arctic-embed-m-v1.5, which enhances embedding vector compressibility and retains substantial quality even when compressed to as little as 128 bytes per vector. This breakthrough is achieved by employing Matryoshka Representation Learning (MRL) and uniform scalar quantization methods. The applicability is ideal for tasks requiring effective…
Large language models powering AI chatbots possess the potential for generating harmful content due to their exposure to countless websites, putting users at risk if the AI generates illegal activities description, illicit instructions, or personal information leakage. To mitigate such threats, AI-developing companies use a procedure known as red-teaming, where human testers compose prompts aimed…
In biomedical science, the process of annotating pixels from crucial elements within a medical image, such as a cell or organ, is called segmentation. This task can be aided by artificial intelligence (AI), which highlights pixels that might indicate the existence of a certain disease or anomaly. However, segmentation is seldom clear-cut, as a group…
Researchers from the University of Maryland, Tsinghua University, University of California, Shanghai Qi Zhi Institute, and Shanghai AI Lab have developed a novel methodology named Make-An-Agent for generating policies using conditional diffusion models. This method looks to improve upon traditional policy learning that uses sampled trajectories from a replay buffer or behavior demonstrations to learn…
Deepset and Mixedbread have taken an innovative leap by introducing a revolutionary open-source German/English embedding model called deepset-mxbai-embed-de-large-v1. The tool aims to correct the imbalance in the AI landscape, where English-speaking markets dominate. Based on the intfloat/multilingual-e5-large model, it is fine-tuned using over 30 million pairs of German data to enhance natural language processing (NLP)…
Large Language Models (LLMs) such as ChatGPT are transforming educational practices by providing new ways of learning and teaching. These advanced models generate text similar to humans, reshaping the interaction between educators, students, and information. However, despite enhancing learning efficiency and creativity, LLMs bring up ethical issues related to trust and an overdependence on technology.
The…
The world of machine learning has been based on Euclidean geometry, where data resides in flat spaces characterized by straight lines. However, traditional machine learning methods fall short with non-Euclidean data, commonly found in the fields such as neuroscience, computer vision, and advanced physics. This paper brings to light these shortcomings, and emphasizes the need…
Machine Learning (ML) significantly contributes to the augmentation of Augmented Reality (AR) across a variety of educational fields, promoting superior object visualizations and interactive capabilities. This analysis reviews the intersection of ML and AR, detailing the widespread applications from kindergarten education to university learning. It investigates ML frameworks including support vector machines, Deep Learning Convolutional…
Artificial intelligence (AI) chatbots like ChatGPT, capable of generating computer code, summarizing articles, and potentially even providing instructions for dangerous or illegal activities, pose unique safety challenges. To mitigate this risk, companies use a safeguarding process known as red-teaming, where human testers attempt to prompt inappropriate or unsafe responses from AI models. This process is…
Artificial Intelligence (AI) models are increasingly being employed in the field of biomedicine to assist clinicians with image segmentation, a process that annotates pixels from important structures in a medical image, such as an organ or cell. However, these AI models often offer a singular answer, while image segmentation in the medical field is usually…
Recruiting the right candidates, both inbound and outbound, often presents recruiters with a strenuous and time-consuming challenge, which often results in lengthy hiring processes, missed opportunities, and sub-par recruitment choices. This is where Serra comes into play.
Serra is an artificial intelligence (AI)-powered candidate search engine designed to ease the recruitment process. It enables recruiters…