AI News

Supervised learning is a machine learning method that trains an algorithm using labeled training data to classify or predict new data. It includes classification and regression tasks, utilizing...

Pattern recognition is an important branch of information science and artificial intelligence. It processes and analyzes various forms of information (numerical, textual, and logical) about things or phenomena...

Inference refers to the ability of a trained AI model to recognize patterns and draw conclusions from previously unseen information. AI inference is a crucial stage in the AI model's lifecycle, occurring after training, when the model...

Tree of Thought (ToT) is a groundbreaking framework designed to enhance the reasoning capabilities of Large Language Models (LLMs). This approach mimics human cognitive strategies for problem-solving, enabling LLMs to function in a structured manner...

OS Agents are intelligent agents capable of understanding and executing complex tasks. They interact with computing devices through interfaces provided by the operating system, automatically completing tasks ranging from simple to complex. These tasks can include information retrieval, file management, ...

TTS (Text to Speech) is a technology that converts text information into natural speech output. Through TTS, computers can automatically convert input text into natural speech, simulating human speech...

Cross-modal generalization refers to using knowledge learned on one or more specific modalities to improve the system's performance on new, unseen modalities. It is suitable for multimodal learning tasks...

Expert systems (ES) are an important applied research area in the field of artificial intelligence. They are intelligent computer program systems that contain a large amount of knowledge and experience at the level of experts in a specific domain. Expert systems can...

Agentic AI is a type of artificial intelligence system capable of autonomous action and decision-making. These systems, referred to as AI agents, can pursue goals independently of direct human intervention. Agentic AI utilizes advanced techniques such as reinforcement learning...

Zero-Shot Learning (ZSL) is a machine learning scenario in which an AI model is trained to recognize and classify objects or concepts without prior knowledge of any examples of those categories or concepts. Most deep learning...

Sentiment analysis, also known as sentiment classification or opinion mining, is a natural language processing technique used to analyze text data to identify and extract the author's sentiment, opinion, and evaluation. It involves evaluating text...

A token is a credential used to identify a user. It is generated by the server and returned to the client. The client includes this token in subsequent requests, and the server verifies the user's identity by parsing the token to determine whether to authorize access to resources.

Benchmarking is a method for evaluating and comparing system performance. It measures a system's performance through a series of standardized test procedures. This type of testing helps determine a system's performance under specific conditions...

Artificial Narrow Intelligence (ANI), also known as "weak AI," refers to AI systems designed and trained to perform specific tasks or tasks within a narrow scope. It differs from systems with human-like...

Forward propagation is a core process in neural networks, describing how input data is passed through network layers and generates output. Input data is fed into the input layer of the neural network. Input data...

Deliberative alignment is a novel training method proposed by OpenAI, designed to improve the safety and reliability of large language models. This method combines process-based and outcome-based supervision to allow the model to...

Instruction tuning (IT) is a training method for large language models (LLMs) that aims to improve the model's ability to follow natural language instructions and complete real-world tasks.

Visual-language models (VLMs) are a type of multimodal artificial intelligence system that combines image and text processing capabilities to perform high-level visual language tasks, such as visual question answering.

Underfitting refers to a machine learning model performing poorly on training data, resulting in poor performance on test data. It occurs when the model is too simple and fails to capture complex patterns in the data. Underfitting...

Robustness refers to the ability of a system, model, or entity to maintain its intended function, stable performance, and accurate results when faced with disturbances, noise, outliers, or changes in design parameters in the input data.

Face recognition is a technology that identifies individuals based on their facial features. It uses computer vision and pattern recognition techniques to analyze input facial images or video streams, first determining if...

AI alignment refers to the field of ensuring that the behavior of artificial intelligence systems aligns with human intentions and values. The core objectives can be summarized by four key principles: robustness, reliability, and...

Image generation is an important research area in computer vision. It uses deep learning models, such as VAEs, GANs, and Diffusion Models, to learn from data and generate new images. This...

The Turing Test is an experiment proposed in 1950 by British mathematician and logician Alan Turing to determine whether machines can exhibit intelligence equivalent to or indistinguishable from that of humans...