Generative Large Multimodal Models (LMMs), such as LLaVA and Qwen-VL, excel in vision-language (VL) tasks like image captioning and visual…
Machine Learning
LLMs, such as GPT-3.5 and GPT-4, have shown exceptional capabilities in language generation, comprehension, and translation tasks. Despite these advancements,…
Mathematical reasoning has long been a significant challenge for Large Language Models (LLMs). Errors in intermediate reasoning steps can undermine…
Generating time series data is important for many applications, including data augmentation, synthetic datasets, and scenarios. However, when there is…
Blockchain systems face significant challenges in efficiently managing and updating state storage due to high write amplification (WA) and extensive…
Biometric authentication has emerged as a promising solution to enhance security by offering a more robust defense against cyber threats.…
Speech processing systems often struggle to deliver clear audio in noisy environments. This challenge impacts applications such as hearing aids,…
The increasing capabilities of large generative models and their ever more widespread deployment have raised concerns about their reliability, safety,…
LLMs excel in code generation but struggle with complex programming tasks requiring deep algorithmic reasoning and intricate logic. Traditional outcome…
Large language model (LLM) based AI agents that have been specialized for specific tasks have demonstrated great problem-solving capabilities. By…
Video-based technologies have become essential tools for information retrieval and understanding complex concepts. Videos combine visual, temporal, and contextual data,…
With the general availability of Amazon Bedrock Agents, you can rapidly develop generative AI applications to run multi-step tasks across…
Artificial intelligence has made significant strides in recent years, but challenges remAIn in balancing computational efficiency and versatility. State-of-the-art multimodal…
In today’s digital age, we are surrounded by enormous amounts of data, from social media interactions to e-commerce transactions and…
Large language models (LLMs) have become crucial tools for applications in natural language processing, computational mathematics, and programming. Such models…
The rapid advancements in artificial intelligence have opened new possibilities, but the associated costs often limit who can benefit from…
Knowledge Retrieval systems have been prevalent for decades in many industries, such as healthcare, education, research, finance, etc. Their modern-day…
In today’s fast-paced world of software development, artificial intelligence plays a crucial role in simplifying workflows, speeding up coding tasks,…
Multilingual knowledge graphs (KGs) provide high-quality relational and textual information for various NLP applications, but they are often incomplete, especially…
Large reasoning models are developed to solve difficult problems by breaking them down into smaller, manageable steps and solving each…