Reconstructing 3D geometry from a single image represents a foundational undertaking within the domains of computer graphics and 3D computer vision, as evident in prior research. This task holds significant…
Jina AI unveils its latest advancement in its second-generation text embedding model: jina-embeddings-v2. This state-of-the-art model is the only open-source solution supporting an impressive 8K (8192 tokens) context length. This…
Convolution-BatchNorm (ConvBN) blocks are integral components in various computer vision tasks and other domains. A ConvBN block can operate in three modes: Train, Eval, and Deploy. While the Train mode…
Artificial intelligence has advanced significantly in text-to-image generation in recent years. Transforming written descriptions into visual representations has a number of applications, from creating content to helping the blind and…
ZEPHYR-7B, a smaller language model optimized for user intent alignment through distilled direct preference optimization (dDPO) using AI Feedback (AIF) data. This approach notably enhances intent alignment without human annotation,…
Natural language processing (NLP) applications have shown remarkable performance using pre-trained language models (PLMs), including BERT/RoBERTa. However, because of their enormous complexity, these models—which generally have hundreds of millions of…
In recent years, machine learning has faced a common challenge: the limited storage capacity of transformers. These models, known for their prowess in deciphering patterns within sequential data, excel in…
Evaluating large-scale language models (LLMs) in handling new knowledge is challenging. Researchers from Peking University introduced KnowGen, a method to generate new knowledge by modifying existing entity attributes and relationships.…