Organizations strive to implement efficient, scalable, cost-effective, and automated customer support solutions without compromising the customer experience. Generative artificial intelligence…
Machine Learning
Arcee AI has recently launched Arcee Spark, a groundbreaking language model with just 7 billion parameters. The release proves that…
Deep learning models like Convolutional Neural Networks (CNNs) and Vision Transformers achieved great success in many visual tasks, such as…
Natural language processing (NLP) has experienced significant growth, largely due to the recent surge in the size and strength of…
Large language models (LLMs) have gained significant attention in recent years, but their safety in multilingual contexts remains a critical…
Optimizing the efficiency of Feedforward Neural Networks (FFNs) within Transformer architectures is a significant challenge in AI. Large language models…
Traditional AI inference systems often rely on centralized servers, which pose scalability limitations, privacy risks, and require trust in centralized…
Artificial intelligence (AI) has seen significant advancements through game-playing agents like AlphaGo, which achieved superhuman performance via self-play techniques. Self-play…
Robotic process automation (RPA) and browser automation (UA) are becoming more important to startups for data scraping and RPA. Nevertheless,…
Mental illness is a critical global public health issue, with one in eight people affected and many lacking access to…
A major challenge in computer vision and graphics is the ability to reconstruct 3D scenes from sparse 2D images. Traditional…
Research on Multimodal large language models (MLLMs) focuses on integrating visual and textual data to enhance artificial intelligence’s reasoning capabilities.…
Large language models (LLMs) face a critical challenge in their training process: the impending scarcity of high-quality internet data. Predictions…
Understanding how LLMs comprehend natural language plans, such as instructions and recipes, is crucial for their dependable use in decision-making…
As artificial intelligence (AI) technology continues to advance and permeate various aspects of society, it poses significant challenges to existing…
In the AI world, a new startup has emerged with the potential to reshape multilingual models, particularly in underserved regions.…
Large language models (LLMs) have become fundamental tools in natural language processing, significantly advancing tasks such as translation, summarization, and…
Broadly neutralizing antibodies (bNAbs) are key in combating HIV-1. They target the virus’s envelope proteins and show promise in reducing…
The paper addresses the challenge of ensuring that large language models (LLMs) generate accurate, credible, and verifiable responses by correctly…
Large Language Models (LLMs) have gained significant prominence in the AI industry, revolutionizing various applications such as chat, programming, and…