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….
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 ...
Deep learning has made significant strides in artificial intelligence, particularly in natural language processing and computer vision. However, even the most advanced systems often fail in ways that ...
Infrastructure systems must be managed effectively to preserve sustainability, protect public safety, and uphold economic stability. Transportation, communication, energy distribution, and other ...
HuggingFace has made a significant stride in AI-driven video analysis and understanding with the release of FineVideo, an expansive and versatile dataset focused on multimodal learning. FineVideo ...
Web navigation agents revolve around creating autonomous systems capable of performing tasks like searching, shopping, and retrieving information from the internet. These agents utilize advanced ...
Large Language Models (LLMs) have revolutionized natural language processing in recent years. The pre-train and fine-tune paradigm, exemplified by models like ELMo and BERT, has evolved into ...
The ability of vision-language models (VLMs) to comprehend text and images has drawn attention in recent years. These models have demonstrated promise in tasks like object detection, captioning, and ...
Detecting and attributing temperature increases due to climate change is vital for addressing global warming and shaping adaptation strategies. Traditional methods struggle to separate human-induced ...
Reinforcement learning (RL) enables machines to learn from their actions and make decisions through trial and error, similar to how humans learn. It’s the foundation of AI systems that can solve ...
Retrieval-Augmented Generation (RAG) is a machine learning framework that combines the advantages of both retrieval-based and generation-based models. The RAG framework is highly regarded for its ...
A major challenge in the current deployment of Large Language Models (LLMs) is their inability to efficiently manage tasks that require both generation and retrieval of information. While LLMs excel ...