We introduce the Yi model family, a series of language and multimodal models that
demonstrate strong multi-dimensional capabilities. The Yi model family is based on 6B and …

Large Language Models (LLMs) have demonstrated remarkable capabilities in important
tasks such as natural language understanding and language generation, and thus have the …

Large foundation models, including large language models, vision transformers, diffusion,
and large language model based multimodal models, are revolutionizing the entire machine …

In the rapidly evolving landscape of artificial intelligence (AI), generative large language
models (LLMs) stand at the forefront, revolutionizing how we interact with our data. However …

The advent of Large Language Models (LLMs) represents a notable breakthrough in Natural
Language Processing (NLP), contributing to substantial progress in both text …

Large foundation models, including large language models (LLMs), vision transformers
(ViTs), diffusion, and LLM-based multimodal models, are revolutionizing the entire machine …

Post-training quantization (PTQ) has emerged as a promising technique for mitigating
memory consumption and computational costs in large language models (LLMs). However …

Large language models (LLMs) have revolutionized the field of AI, demonstrating
unprecedented capacity across various tasks. However, the inference process for LLMs …

Post-training quantization (PTQ) has emerged as a promising technique for mitigating
memory consumption and computational costs in large language models (LLMs). However …

In the complex domain of large language models (LLMs), striking a balance between
computational efficiency and maintaining model quality is a formidable challenge …