marktechpost4d
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, ...
marktechpost5d
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 ...
marktechpost3d
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, ...
marktechpost5d
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
An Extensible Open-Source AI Framework to Benchmark Attributable Information-Seeking Using Representative LLM-based Approaches
With the success of LLMs in various tasks, search engines have begun using generative methods to provide accurate answers with in-line citations to user queries. However, generating reliable and ...
marktechpost4d
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 ...
marktechpost4d
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
Understanding the Inevitable Nature of Hallucinations in Large Language Models: A Call for Realistic Expectations and Management Strategies
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 ...
marktechpost6d
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
Learning and Knowledge Retrieval: A Comprehensive Framework for In-Context Learning in Large Language Models (LLMs)
Generative Large Language Models (LLMs) are capable of in-context learning (ICL), which is the process of learning from examples given within a prompt. However, research on the precise principles ...
marktechpost5d
Deep Learning Approach for Lithium-Ion Battery Life Prediction via Dual-Stream Vision Transformer
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 ...
marktechpost5d
FuXi-2.0: Advancement in Machine Learning ML-based Weather Forecasting for Practical Applications
ML models are increasingly used in weather forecasting, offering accurate predictions and reduced computational costs compared to traditional numerical weather prediction (NWP) models. However, ...