RakutenAI-7B: A Suite of Japanese-Oriented Large Language Models that Achieve the Great Performance on the Japanese Language Model
Natural Language Processing (NLP) models are pivotal for various applications, from translation services to virtual assistants. They enhance the ability to comprehend and generate human-like responses. These models have become…
This AI Paper from Durham University Evaluates GPT-3.5 and GPT-4’s Performance Against Student Coders in Physics
Coding courses have cemented their place as a cornerstone of Science Technology Engineering Mathematics (STEM) education. These courses, spanning a broad spectrum from the foundational syntax of programming languages to…
Google AI Introduces AutoBNN: A New Open-Source Machine Learning Framework for Building Sophisticated Time Series Prediction Models
GoogleAI researchers released AutoBNN to address the challenge of effectively modeling time series data for forecasting purposes. Traditional Bayesian approaches like Gaussian processes (GPs) and structural time series could not…
This AI Paper from Intel Presents a SYCL Implementation of Fully Fused Multi-Layer Perceptrons (MLPs) on Intel Data Center GPU Max
In the field of Artificial Intelligence (AI), Multi-Layer Perceptrons (MLPs) are the foundation for many Machine Learning (ML) tasks, including partial differential equation solving, density function representation in Neural Radiance…
Researchers from Google DeepMind and Stanford Introduce Search-Augmented Factuality Evaluator (SAFE): Enhancing Factuality Evaluation in Large Language Models
Understanding and improving the factuality of responses generated by large language models (LLMs) is critical in artificial intelligence research. The domain investigates how well these models can adhere to truthfulness…
This Paper Reveals Insights from Reproducing OpenAI’s RLHF (Reinforcement Learning from Human Feedback) Work: Implementation and Scaling Explored
In recent years, there has been an enormous development in pre-trained large language models (LLMs). These LLMs are trained to predict the next token given the previous tokens and provide…
Alibaba Releases Qwen1.5-MoE-A2.7B: A Small MoE Model with only 2.7B Activated Parameters yet Matching the Performance of State-of-the-Art 7B models like Mistral 7B
In recent times, the Mixture of Experts (MoE) architecture has become significantly popular with the release of the Mixtral model. Diving deeper into the study of MoE models, a team…
This AI Research from Apple Combines Regional Variants of English to Build a ‘World English’ Neural Network Language Model for On-Device Virtual Assistants
In technological advancement, developing Neural Network Language Models (NNLMs) for on-device Virtual Assistants (VAs) represents a significant leap forward. Traditionally, these models have been tailored to specific languages, regions, and…
How Visual AI Can Assist Businesses In Efficiently Managing Large Volumes Of Images
Content is king. We all know that, right? Well, in today’s world, visual content has become king, with images and videos serving as not only useful but essential tools for…
Generative AI to quantify uncertainty in weather forecasting
Posted by Lizao (Larry) Li, Software Engineer, and Rob Carver, Research Scientist, Google Research Accurate weather forecasts can have a direct impact on people’s lives, from helping make routine decisions,…