OpenBMB recently released the MiniCPM3-4B, the third-generation model in the MiniCPM series. This model marks a great step forward in the capabilities of smaller-scale language models. Designed to ...

In deep learning, neural network optimization has long been a crucial area of focus. Training large models like transformers and convolutional networks requires significant computational resources and ...

Large language models (LLMs) have seen remarkable success in natural language processing (NLP). Large-scale deep learning models, especially transformer-based architectures, have grown exponentially ...

ML models are increasingly used in weather forecasting, offering accurate predictions and reduced computational costs compared to traditional numerical weather prediction (NWP) models. However, ...

Artificial Intelligence (AI) and Machine Learning (ML) have been transformative in numerous fields, but a significant challenge remains in the reproducibility of experiments. Researchers frequently ...

Prior research on Large Language Models (LLMs) demonstrated significant advancements in fluency and accuracy across various tasks, influencing sectors like healthcare and education. This progress ...

Language model research has rapidly advanced, focusing on improving how models understand and process language, particularly in specialized fields like finance. Large Language Models (LLMs) have moved ...

A significant challenge in information retrieval today is determining the most efficient method for nearest-neighbor vector search, especially with the growing complexity of dense and sparse retrieval ...

Predicting battery lifespan is difficult due to the nonlinear nature of capacity degradation and the uncertainty of operating conditions. As battery lifespan prediction is vital for the reliability ...

AI assistants have the drawback of being rigid, pre-programmed for specific tasks, and in need of more flexibility. The limited utility of these systems stems from their inability to learn and adapt ...

Generative Large Language Models (LLMs) are capable of in-context learning (ICL), which is the process of learning from examples given within a prompt. However, research on the precise principles ...

Here is a list of trending Hugging Face Repos/Models/Datasets on marktechpost.com. This Page is updated daily for topics like LLMs/RAG/Generative AI/ ML/Vector Database….