## 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 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 in performing detailed, granular analyses. ...
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 ...
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The answer to these questions lies in scaling laws. Scaling laws determines how much optimal data is required to train a model of a particular size. In 2022, DeepMind proposed the scaling laws for training the LLMs with the optimal model size and dataset (no. of tokens) in the paperTrain...
The data were collected using a paper-based questionnaire, which the parents completed at the commune health centres. The questionnaire included the Vietnamese PACV and other questions such as parents’ gender, parental educational level and employment status, number of children [8, 9, 23]; infor...
Q17:What did the researchers of a recent working paper consider first? Q18:What did the recent paper identify as a new potential explanation of the problem concerning men's employment? Recording 2 音频原文 While an increasing num...
In this paper, we ask a fundamental question: can neural machine translation generate a character sequence without any explicit segmentation? To answer this question, we evaluate an attention-based encoder-decoder with a subword-level encoder and a character-level decoder on four language pairs--En...
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,...
特别是LlaMa2和Gemma模型,当通过KG-LLM框架进行处理并使用ICL进行增强时,在两个数据集上的准确率都超过了70%。 Answer to Q4: The integration of ICL has markedly improved the models’ ability to engage and excel in unseen tasks, as evidenced by the substantial performance gains detailed in Table 5....