marktechpost20h
Reinforcement Learning
IBM's release of PowerLM-3B and PowerMoE-3B signifies a significant leap in effort to improve the efficiency and scalability of language model training. IBM has introduced these models based on ...
marktechpost5d
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 ...
marktechpost3d
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….
marktechpost4d
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 ...
marktechpost6d
OneGen: An AI Framework that Enables a Single LLM to Handle both Retrieval and Generation Simultaneously
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 ...
marktechpost3d
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 ...
marktechpost5d
SaRA: A Memory-Efficient Fine-Tuning Method for Enhancing Pre-Trained Diffusion Models
Recent advancements in diffusion models have significantly improved tasks like image, video, and 3D generation, with pre-trained models like Stable Diffusion being pivotal. However, adapting these ...
marktechpost5d
InfraLib: A Comprehensive AI framework for Enabling Reinforcement Learning and Decision Making for Large Scale Infrastructure Management
Infrastructure systems must be managed effectively to preserve sustainability, protect public safety, and uphold economic stability. Transportation, communication, energy distribution, and other ...
marktechpost5d
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 ...
marktechpost7d
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 ...
marktechpost5d
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 ...
marktechpost5d
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 ...