DeepStack: Enhancing Multimodal Models with Layered Visual Token Integration for Superior High-Resolution Performance
Most LMMs integrate vision and language by converting images into visual tokens fed as sequences into LLMs. While effective for multimodal understanding, this method significantly increases memory and computation demands,…
Benchmarking Federated Learning for Large Language Models with FedLLM-Bench
Large language models (LLMs) have achieved remarkable success across various domains, but training them centrally requires massive data collection and annotation efforts, making it costly for individual parties. Federated learning…
Balancing AI Tools and Traditional Learning: Integrating Large Language Models in Programming Education
Human-computer interaction (HCI) focuses on designing and using computer technology, particularly the interfaces between people (users) and computers. Researchers in this field observe how humans interact with computers & design…
Seeing Through Multiple Lenses: Multi-Head RAG Leverages Transformer Power for Improved Multi-Aspect Document Retrieval
Retrieval Augmented Generation (RAG) is a method that enhances the capabilities of Large Language Models (LLMs) by integrating a document retrieval system. This integration allows LLMs to fetch relevant information…
Researchers at Stanford Introduce a Two-Step Framework for Linguistic Calibration of Long-Form Generations
Large language models (LLMs) have the potential to lead users to make poor decisions, especially when these models provide incorrect information with high confidence, which is called hallucination. This confident…
Anthropic Unveils Strategies For Testing And Mitigating Elections-Related Risks
Generative artificial intelligence (GenAI) has emerged as a transformative force in various sectors, including finance, IT, and healthcare. While the benefits of GenAI are undeniable, its application in the realm…
Enhancing Large-scale Parallel Training Efficiency with C4 by Alibaba
The training of Large Language Models (LLMs) like GPT-3 and Llama on a large scale faces significant inefficiencies due to hardware failures and network congestion. These issues lead to substantial…
Apple Intelligence: Leading the Way in On-Device AI with Advanced Fine-Tuned Models and Privacy
Apple made a significant announcement, strongly advocating for on-device AI through its newly introduced Apple Intelligence. This innovative approach emphasizes the integration of a ~3 billion parameter language model (LLM)…
VIAVI and Partners Will Showcase 6G and AI Research
VIAVI CTO Dr. Sameh Yamany Will Deliver Keynote Address on “Telecom Digital Twins And Their Role In Future Technologies Maturity” Viavi Solutions Inc. (VIAVI) (NASDAQ: VIAV) today announced that it will be…
Gcore Unveils AI Applications to End Users for Seamless Performance
New AI solution enables fast, secure, and cost-effective deployment of pre-trained machine learning models globally, at the edge Gcore, the global edge AI, cloud, network, and security solutions provider, today…