Large language models (LLMs) now support very long context windows, but the quadratic complexity of standard attention results in significantly prolonged Time-to-First-Token (TTFT) latency. Existing methods to tackle this complexity require extra pretraining or finetuning and often compromise model accuracy. The quadratic nature of the vanilla attention mechanism in these models significantly increases computational time,…
In recent years, advancements in robotic technology have significantly impacted various fields, including industrial automation, logistics, and service sectors. Autonomous robot navigation and efficient data collection are crucial aspects that determine the effectiveness of these robotic systems. Based on the content of two detailed research papers, let’s delve into two primary topics: human-agent joint learning…
A researcher from BayzAI.com, Volkswagen Group of America, IECC discusses the problem of generalization in training neural networks, specifically how to achieve a solution that represents the distributional properties of a dataset without being influenced by the selection of data points used in training. Traditional methods often result in sensitive models, particularly to the subsets…
In 2024, the landscape of customer service is undergoing a profound transformation, largely driven by the advancements in artificial intelligence (AI). Among these advancements, OpenAI’s ChatGPT has become a pivotal tool in revolutionizing how businesses interact with customers. This innovative technology enhances customer experiences and streamlines company operations across various industries. Enhanced Customer Interaction ChatGPT’s…
The rise of the Internet has flooded with information, making search engines more important than ever for navigating this vast online world. However, as user queries become more complex and expectations for precise, relevant, and up-to-date answers increase, traditional search technologies face various challenges to meet the requirement. Significant progress has been made in natural…
The computational demands of LLMs, particularly with long prompts, hinder their practical use due to the quadratic complexity of the attention mechanism. For instance, processing a one million-token prompt with an eight-billion-parameter LLM on a single A100 GPU takes about 30 minutes for the initial stage. This leads to significant delays before the model starts…
Given their ubiquitous presence across various online platforms, the influence of AI-based recommenders on human behavior has become an important field of study. The survey by researchers from the Institute of Information Science and Technologies at the National Research Council (ISTI-CNR), Scuola Normale Superiore of Pisa, and the University of Pisa delve into the methodologies…
Text-to-3D generation is an innovative field that creates three-dimensional content from textual descriptions. This technology is crucial in various industries, such as video games, augmented reality (AR), and virtual reality (VR), where high-quality 3D assets are essential for creating immersive experiences. The challenge lies in generating realistic and detailed 3D models that meet artistic standards…
Businesses continually seek ways to leverage AI to enhance their operations. One of the most impactful applications of AI is conversational agents, with OpenAI’s ChatGPT standing out as a leading tool. However, to maximize its potential, businesses often need to fine-tune ChatGPT to meet their specific needs. This guide delves into the process of fine-tuning…
Artificial intelligence (AI) has significantly advanced with the development of large language models (LLMs) that follow user instructions. These models aim to provide accurate and relevant responses to human queries, often requiring fine-tuning to enhance their performance in various applications, such as customer service, information retrieval, and content generation. The ability to instruct these models…