Novak Zivanic has made a significant contribution to the field of Natural Language Processing with the release of Embedić, a suite of Serbian text embedding models. These models are specifically ...

Comet has unveiled Opik, an open-source platform designed to enhance the observability and evaluation of large language models (LLMs). This tool is tailored for... With AI, the demand for high-quality ...

Comet has unveiled Opik, an open-source platform designed to enhance the observability and evaluation of large language models (LLMs). This tool is tailored for... With AI, the demand for high-quality ...

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….

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...