## Introduction * 🤖 The Yi series models are the next generation of open-source large language models trained from scratch by 01.AI. * 🙌 Targeted as a bilingual language model and trained on 3T multilingual corpus, the Yi series models become one of the strongest LLM worldwide, showing...
In 2022, DeepMind proposed the scaling laws for training the LLMs with the optimal model size and dataset (no. of tokens) in the paperTraining Compute-Optimal Large Language Models.These scaling laws are popularly known as Chinchilla or Hoffman scaling laws. It states that The no. of tokens...
Figure 1: The Pipeline for Evaluating MLLMs with ChartInsights In this paper, we aim to systematically investigate the capabilities of GPT-4o in addressing 10 low-level data analysis tasks. Our study seeks to answer the following critical questions, shedding light on the potential of MLLMs ...
Development Roadmap (2024 Q4) Citation And Acknowledgment Please cite our paper,SGLang: Efficient Execution of Structured Language Model Programs, if you find the project useful. We also learned from the design and reused code from the following projects:Guidance,vLLM,LightLLM,FlashInfer,Outlines,...
Thus, the LLM draws the context to answer the generic prompt from the adversarial image. The generation of benign-appearing adversarial images leverages a novel embedding-space-based methodology, operating with no access to the LLM model. Instead, the attacks require access only to the vision ...
In this paper, we present the first attempt to use language-only GPT-4 to generate multimodal language-image instruction-following data. By instruction tuning on such generated data, we introduce LLaVA: Large Language and Vision Assistant, an end-to-end trained large multimodal model that ...
[17] First, the researchers considered the issue of wages.As the wage gap has grown between those with college degrees and those without, economists have suggested that men aren't as interested in taking some of the less lucrat...
Please refer to ourpaperfor more evaluation details. FAQs What if I encounteredCUDA_ERROR_OUT_OF_MEMORY? You can try to run with--reset-gpu-indexargument to rebuild the GPU index for this model to avoid any stale cache. Due to our current implementation, model offloading might not be as ...
In this paper, we describe REAP, a system designed to assign each student individualized readings by combining detailed student and curriculum modelling with the large amount of authentic materials on the Web. REAP is designed to be used as an additional resource in teacher-led classes, as well...
process, the model is able to more effectively understand the underlying relationships and patterns present within KGs, thus improving overall performance in multi-hop link prediction tasks. In this paper, we define the two types of knowledge prompts, standard knowledge prompt and KG-LLM knowledge ...