marktechpost1d
Natural Language Processing
Machine Learning in Membrane Science:ML significantly transforms natural sciences, particularly cheminformatics and materials science, including membrane technology. This review focuses on current ML ...
marktechpost1d
Small Language Model
Artificial intelligence (AI) research has increasingly focused on enhancing the efficiency & scalability of deep learning models. These models have revolutionized natural language processing, computer ...
marktechpost6d
Allen Institute for AI Researchers Propose SUPER: A Benchmark for Evaluating the Ability of LLMs to Set Up and Execute Research Experiments
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 ...
marktechpost5d
Qwen 2.5 Models Released: Featuring Qwen2.5, Qwen2.5-Coder, and Qwen2.5-Math with 72B Parameters and 128K Context Support
The Qwen team from Alibaba has recently made waves in the AI/ML community by releasing their latest series of large language models (LLMs), Qwen2.5. These models have taken the AI landscape by storm, ...
marktechpost4d
Seed-Music: A Comprehensive AI Framework for Enhanced Music Generation and Editing with Controlled Artistic Expression and Multi-Modal Inputs
Music generation has evolved significantly, integrating vocal and instrumental tracks into cohesive compositions. Pioneering works like Jukebox demonstrated end-to-end generation of vocal music, ...
marktechpost6d
Collaborative Small Language Models for Finance: Meet The Mixture of Agents MoA Framework from Vanguard IMFS
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 ...
marktechpost5d
SynSUM: A Synthetic Benchmark for Integrating Clinical Notes with Structured Data
Electronic Health Records (EHRs) present a wealth of information, combining structured tabular data and unstructured clinical notes. This valuable resource forms the foundation for training clinical ...
marktechpost7d
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 ...
marktechpost5d
Contrastive Twist Learning and Bidirectional SMC Bounds: A New Paradigm for Language Model Control
Large language models (LLMs) have made significant success in various language tasks, but steering their outputs to meet specific properties remains a challenge. Researchers are attempting to solve ...
marktechpost5d
DreamHOI: A Novel AI Approach for Realistic 3D Human-Object Interaction Generation Using Textual Descriptions and Diffusion Models
Early attempts in 3D generation focused on single-view reconstruction using category-specific models. Recent advancements utilize pre-trained image and video generators, particularly diffusion models, ...
marktechpost8d
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 ...
marktechpost8d
Windows Agent Arena (WAA): A Scalable Open-Sourced Windows AI Agent Platform for Testing and Benchmarking Multi-modal, Desktop AI Agent
Artificial intelligence (AI) has been advancing in developing agents capable of executing complex tasks across digital platforms. These agents, often powered by large language models (LLMs), have the ...