3DTopia系统分为两个阶段:第一阶段使用文本条件的三平面潜在扩散模型快速生成粗略的3D样本;第二阶段利用2D扩散先验进一步细化第一阶段生成的3D模型的纹理。 2.第一阶段:3D扩散先验: 采用三平面表示法,因为它在存储和计算效率方面表现出色,且易于神经网络处理。 使用潜在扩散模型从3D数据中学习3D扩散先验,通过三平面变...
能够衡量prefix和model generation之间的兼容性,从而可以灵活地作为socre function用在beam search中。 2. RANKGEN:a generation ranker 通过大规模的对比学习来训练RANKGEN,拉近prefix向量与gold completion之间的距离而推远prefix向量与negative的样本的距离。作者提供了两种构造负样本的方法,并实验证明了传统的语言模型无...
Large language models have garnered significant attention in recent years, with a proliferation of products attracting a substantial user base based on their functionalities such as language understanding, logical reasoning, knowledge question and answer, and text generation. China's leading AI company i...
The other big thing that's coming is large multimodal models or LMMs. These combine text generation with other modalities, like images and audio, so you can ask a chatbot what's going on in an image or have it respond with audio. GPT-4o and Google's Gemini models are two of the fir...
Today we are excited to announce that you can now perform batch transforms with Amazon SageMaker JumpStart large language models (LLMs) for Text2Text Generation. Batch transforms are useful in situations where the responses don’t need to be real time...
Code generation using a large language model involves the automatic generation of code based on a given task or specification. These models have been trained on vast amounts of code repositories, allowing them to understand the syntax, structure, and patterns of various programming languages. Source...
SHANGHAI, Jan. 17 (Xinhua) -- A new-generation large language model, capable of accepting and processing about 300,000 Chinese characters at one time, was released in Shanghai on Wednesday. The limited context length of large models is a significant problem in artificial intelligence. ...
Large Language Model Text Generation Inference. Contribute to amihalik/text-generation-inference development by creating an account on GitHub.
Large language models (LLMs) have revolutionized natural language understanding, conversational AI, and various applications like text generation and language translation. This white paper offers solutions to optimize LLMs using compression techniques. The OpenVINO™ toolkit stands out as a premier soluti...
1、Initial aligned image-text generation 在初始阶段,我们使用来自第一次预训练阶段得到的模型来生成输入图像的全面描述。 为了使我们的模型能够生成更详细的图像描述,我们设计了一个遵循Vicuna语言模型的对话格式的提示,如下所示。 在这个提示中,<ImageFeature>代表由线性投影层产生的视觉特征。