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Hugging Face Repo Trends
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….
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Agent Zero: A Dynamic Agentic Framework Leveraging the Operating System as a Tool for Task Completion
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 ...
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Rethinking LLM Training: The Promise of Inverse Reinforcement Learning Techniques
Large language models (LLMs) have gained significant attention in the field of artificial intelligence, primarily due to their ability to imitate human knowledge through extensive datasets. The ...
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Google DeepMind Researchers Propose Human-Centric Alignment for Vision Models to Boost AI Generalization and Interpretation
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 ...
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Microsoft Unveils Copilot Agents: Revolutionizing Business Productivity
In an exciting move that underscores its commitment to redefining workplace productivity, Microsoft has unveiled Copilot Agents—a new feature within Copilot Studio that allows businesses to build ...
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HuggingFace Team Released FineVideo: A Comprehensive Dataset Featuring 43,751 YouTube Videos Across 122 Categories for Advanced Multimodal AI Analysis
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 ...
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Agent Workflow Memory (AWM): An AI Method for Improving the Adaptability and Efficiency of Web Navigation Agents
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 ...
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ClimDetect: A New Benchmark Dataset for Testing AI Models in Detecting Climate Change Signals
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 ...
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HNSW, Flat, or Inverted Index: Which Should You Choose for Your Search? This AI Paper Offers Operational Advice for Dense and Sparse Retrievers
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 ...
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Top Reinforcement Learning Courses
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 ...
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Small but Mighty: The Enduring Relevance of Small Language Models in the Age of LLMs
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 ...
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Automating Reinforcement Learning Workflows with Vision-Language Models: Towards Autonomous Mastery of Robotic Tasks
Recent advancements in utilizing large vision language models (VLMs) and language models (LLMs) have significantly impacted reinforcement learning (RL) and robotics. These models have demonstrated ...