Due to the complexity of interpreting user questions, database schemas, and SQL production, accurately generating SQL from natural language queries (text-to-SQL) has been a long-standing difficulty. Traditional text-to-SQL systems using deep neural networks and human engineering have succeeded. Then, text-to-SQL jobs were tackled with pre-trained language models (PLMs), and they showed great promise. Problems arise…
The growth of low-quality data on the internet leads to the instillation of undesirable, unsafe, or toxic knowledge in large language models (LLMs). When these models are used in chatbots, they increase the risk of exposing users to harmful advice or aggressive behavior. Existing toxicity evaluation datasets, primarily focused on English, fail to capture multilingual…
Survey on Machine Learning-Powered Augmented Reality in Education: ML advances augmented reality (AR) across various educational fields, enhancing object visualizations and interaction capabilities. This survey outlines the integration of ML in AR, discussing its applications from kindergarten to university. It explores ML models like support vector machines, CNNs, and ANNs in AR education. The survey…
This Paper addresses the limitations of classical machine learning approaches primarily developed for data lying in Euclidean space. Modern machine learning increasingly encounters richly structured data that is inherently non-Euclidean, exhibiting intricate geometric, topological, and algebraic structures. Extracting knowledge from such non-Euclidean data necessitates a broader mathematical perspective beyond the traditional Euclidean framework. Traditional machine…
Large language models (LLMs), like ChatGPT, are reshaping education by offering new methods for learning and teaching. These advanced models understand and generate human-like text, changing student, educator, and information interaction. LLMs enhance learning efficiency and creativity but raise concerns about trust and potential dependency on technology. The core issue explored in this research is…
Deepset and Mixedbread have taken a bold step toward addressing the imbalance in the AI landscape that predominantly favors English-speaking markets. They have introduced a groundbreaking open-source German/English embedding model, deepset-mxbai-embed-de-large-v1, to enhance multilingual capabilities in natural language processing (NLP). This model is based on intfloat/multilingual-e5-large and has undergone fine-tuning on over 30 million pairs…
Traditional policy learning uses sampled trajectories from a replay buffer or behavior demonstrations to learn policies or trajectory models that map from state to action. This approach models a narrow behavior distribution. However, there is a challenge to guide high-dimensional output generation using low-dimensional demonstrations. Diffusion models have shown highly competitive performance on tasks like…
OpneAI has just launched GPT-4o Mini, its most cost-efficient small AI Model. This model promises to broaden the scope of AI applications with its affordable pricing and powerful capabilities for the price. GPT-4o mini is significantly more affordable than previous models. The GPT-4o mini is priced at 15 cents per million input tokens and 60…
In collaboration with NVIDIA, the Mistral AI team has unveiled Mistral NeMo, a groundbreaking 12-billion parameter model that promises to set new standards in artificial intelligence. Released under the Apache 2.0 license, Mistral NeMo is designed to be a high-performance, multilingual model capable of handling a context window of up to 128,000 tokens. This extensive…
Sign language research aims to advance technology that improves the understanding, translation, and interpretation of sign languages used by Deaf and hard-of-hearing communities globally. This field involves creating extensive datasets, developing sophisticated machine-learning models, and enhancing tools for translation and identification in various applications. By bridging communication gaps, this research supports better inclusion and accessibility…