marktechpost3d
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, ...
marktechpost2d
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, ...
marktechpost3d
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 ...
marktechpost3d
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 ...
marktechpost3d
DFDG: Enhancing One-Shot Federated Learning with Data-Free Dual Generators for Improved Model Performance and Reduced Data Overlap
Data-Free Knowledge Distillation (DFKD) methods transfer knowledge from teacher to student models without real data, using synthetic data generation. Non-adversarial approaches employ heuristics to ...
marktechpost4d
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 ...
marktechpost3d
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, ...
marktechpost6d
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 ...
marktechpost6d
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 ...
marktechpost5d
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 ...
marktechpost4d
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 ...
marktechpost4d
NiNo: A Novel Machine Learning Approach to Accelerate Neural Network Training through Neuron Interaction and Nowcasting
In deep learning, neural network optimization has long been a crucial area of focus. Training large models like transformers and convolutional networks requires significant computational resources and ...