LLM+RAG-Based Question Answering

VTON technology has revolutionized online shopping, bridging the gap between virtual and physical experiences by allowing customers to visualize clothing without the need for physical try-ons. Researchers have developed a flexible and advanced approach that offers…

In today’s fast-paced business landscape, understanding your competition is more crucial than ever. With the rise of artificial intelligence, tools like ScrapeGraph and Gemini AI are revolutionizing how companies gather and analyze competitive intelligence. This article…

Large language models (LLMs) excel at text-based natural language processing tasks through creative prompt engineering and in-context learning. However, their performance on spoken language understanding (SLU) tasks relies heavily on speech-to-text conversion by an off-the-shelf automation…

The PAICS deep learning system has shown promising results in enhancing the diagnostic performance of sonologists in detecting fetal intracranial malformations. A study involving 36 sonologists found that the system substantially improved the accuracy of CNS…

A physical neural network has achieved a milestone in machine intelligence by learning and retaining information in a manner similar to human brain neurons. This breakthrough paves the way for the development of efficient and low-energy…

Google Cloud’s Vertex AI Search is set to revolutionize the healthcare and life sciences industries by leveraging artificial intelligence (AI) to extract accurate clinical information from various sources, addressing the challenge of data overload. This advancement…

A recent collaborative study by IBM Research, Princeton University, and Virginia Tech highlights the security risks associated with fine-tuning large language models (LLMs). The research reveals that even a small number of harmful entries in a…

Researchers from Microsoft and Tsinghua University developed SCA, an enhancement to the SAM segmentation model, enabling it to generate regional captions. SCA adds a lightweight feature mixer for better alignment with language models, optimizing efficiency with…

ProtHyena, developed by researchers at Tokyo Institute of Technology, is a protein language model that addresses attention-based model limitations. Utilizing the Hyena operator, it efficiently processes long protein sequences and outperforms traditional models on various biological…

AI is generating excitement in manufacturing. Leaders see its potential in innovation, efficiency, maintenance, and security, aiming to boost spending significantly. Challenges include talent, skills, and data constraints. Key findings reveal specific AI gains in engineering,…

Understanding 2D Matryoshka Embeddings Embeddings are essential in machine learning for representing data in a simpler, lower-dimensional space. They help with tasks like text classification and sentiment analysis. However, traditional methods struggle with complex data structures,…

Recent advances in Neural Radiance Fields (NeRFs) have demonstrated advancements in 3D graphics and perception. The 3D Gaussian Splatting (GS) framework has further enhanced these improvements. However, more applications are needed to create new dynamics. A…

A research team has developed a comprehensive set of metrics to evaluate the performance of deep generative models (DGMs) in engineering design. These metrics address aspects such as design constraints, diversity, novelty, and target achievement, providing…

This week’s AI news roundup covers various interesting developments in the field. From AI pranks involving presidents to controversies surrounding OpenAI, the article delves into diverse topics such as AI’s influence on elections, advancements in AI…

Large language models (LLMs) excel in processing vast datasets but struggle with accuracy. GeneGPT enhances LLMs’ access to biomedical data by integrating with NCBI’s Web APIs, improving data retrieval accuracy and versatility. It outperforms current models,…

Practical Solutions and Value Reinforcement Learning from Human Feedback (RLHF) Challenges RLHF encourages high rewards but faces issues like limited fine-tuning, imperfect reward models, and reduced output variety. Model Merging and Weight Averaging (WA) Weight averaging…

Chemical Reasoning and AI Solutions Understanding the Challenges Chemical reasoning involves complex processes that require accurate calculations. Even minor mistakes can lead to major problems. Large Language Models (LLMs) often face difficulties with specific chemical tasks,…

The Future of Electricity Generation The generation of renewable energy (RE) and the growing demand for electricity from heat pumps and electric vehicles have led to a more unpredictable grid. This requires innovative solutions for stabilizing…

Researchers from Salus Security have introduced an AI solution called “Lightning Cat” that uses deep learning techniques to detect vulnerabilities in smart contracts. The solution utilizes optimized deep learning models, including CodeBERT, LSTM, and CNN, to…