AI Sharing Circle

扩散模型（Diffusion Model）是一种生成模型，专门用于创建新的数据样本，例如图像、音频或文本。模型的核心灵感来源于物理学中的扩散过程，模拟粒子从高浓度区域向低浓度区域自然扩散的现象。在机器...

模型微调（Fine-tuning）是机器学习中迁移学习的一种具体实现方式。核心流程以预训练模型为基础，预训练模型利用大规模数据集学习通用模式，形成广泛的特征提取能力。微调阶段则引入特定任务的数据集，对...

Attention Mechanism (Attention Mechanism) is a computational technique that mimics human cognitive processes, initially applied in the field of machine translation, and later becoming an important part of deep learning.

The Transformer architecture is a deep learning model designed for processing sequence-to-sequence tasks such as machine translation or text summarization. The core innovation is the complete reliance on self-attention mechanisms, eschewing traditional loops or convolutional structures. Allowing the model to process all elements of a sequence in parallel, large...

Pre-trained Model is a fundamental and powerful technique in the field of Artificial Intelligence, representing machine learning models that are pre-trained on large-scale datasets. Models form a broad knowledge base by processing massive amounts of information and learning generalized patterns and features from the data...

Large Language Model (LLM) is a deep learning system trained on massive text data, with the Transformer architecture at its core. The self-attention mechanism of this architecture can effectively capture long-distance dependencies in language. The model's "large ...

Long Short-Term Memory (LSTM) is a recurrent neural network variant specialized in processing sequence data. In the field of artificial intelligence, sequence data is widely used in tasks such as time series prediction, natural language processing and speech recognition.

Federated Learning (FL) is an innovative machine learning approach first proposed by a Google research team in 2016 to address challenges in data privacy and distributed computing.

Recurrent Neural Network (RNN) is a neural network architecture designed for processing sequential data. Sequential data refers to a collection of data with temporal order or dependencies, such as linguistic text, speech signals, or time series.

Neural Network (NN) is a computational model inspired by the way neurons work in the biological brain.