“Most people never take a glance beyond this earthly world before they die.” — Liu Cixin, The Three-Body Problem In the process of learning and using new technologies, the yearning for new knowledge generates internal motivation. Internal motivation and interest are the two best teachers. When using large language models for writing, it is necessary … Read more
Source: ZHUAN ZHI This article is approximately 1000 words, recommended reading time is 5 minutes. We explore three paths to introduce language into computer vision systems for open set recognition. The visual world is vast and constantly evolving. Additionally, due to the long-tail nature of data collection, computer vision systems cannot observe all visual concepts … Read more
Lightning Attention-2 is a novel linear attention mechanism that aligns the training and inference costs of long sequences with those of a 1K sequence length. The limitations on sequence length in large language models significantly constrain their applications in artificial intelligence, such as multi-turn dialogue, long text understanding, and the processing and generation of multimodal … Read more
Machine Heart Column Machine Heart Editorial Team Lightning Attention-2 is a new type of linear attention mechanism that aligns the training and inference costs of long sequences with those of a 1K sequence length. The limitation on sequence length in large language models significantly restricts their applications in artificial intelligence, such as multi-turn dialogue, long … Read more
Source | AI Researcher Introduction This article showcases the application of large language models (LLMs) in real work through the personal experience of Nicholas Carlini and discusses how AI technology is changing our work methods and enhancing productivity. Table of Contents: 1. Nuances 2. My Background 3. How to Utilize Language Models 4. Evaluating the … Read more
Click below 👇“AI Knowledge Exchange”Follow the official account Ollama is an open-source framework designed for the convenient deployment and operation of large language models (LLMs) on local machines. Its core feature is to simplify usage and provide an efficient technical architecture, allowing developers to easily access and use powerful AI language models. Ollama supports local … Read more
Author Introduction Liang Yucheng, Professor and PhD Supervisor at the School of Sociology and Anthropology, Sun Yat-sen University, Distinguished Professor of the Changjiang Scholars Program. Ma Yukun (Corresponding Author), PhD student at the School of Sociology and Anthropology, Sun Yat-sen University, Email: [email protected] 1. Differentiation of Social Concepts in the Digital Age: “Multicentralization” The emergence … Read more
The ocean covers approximately 71% of the Earth’s surface and plays a crucial role in global climate regulation, weather patterns, biodiversity, and human economic development. Ocean science focuses on studying the natural characteristics of the ocean, its changing patterns, and the theories, methods, and applications related to the development and utilization of ocean resources. This … Read more
Reported by New Intelligence Editor: LRS [New Intelligence Overview] Allow language models to solve problems automatically, letting users take a backseat. The wave of AI driven by ChatGPT has ushered us into the era of artificial intelligence, where language models have become indispensable tools in daily life. However, current language models can only respond to … Read more
New large language models continue to emerge.However, over time, concerns about whether the development of large language models has peaked are gradually rising.Today, industry leaders believe that the development of artificial intelligence is shifting from the research phase of foundational large models to the application development phase of large models.Although the direction of development is … Read more