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....
It should be noted that the use of social robots in special education is not the focus of this work; it is a subject that has been extensively researched in the literature, and as such, does not need to be systematically reviewed again in the context of this paper. Yet, it is useful ...
Paper Link: ([2410.18032] GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration) Contents Introduction System Requirements Installation Steps 1. Create a Conda Virtual Environment 2. Install Dependencies 3. Using Docker Running the Project 1. Activate the Cond...
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,...
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 paperTraini...
This paper assesses the potential for the large language models (LLMs) GPT-4 and GPT-3.5 to aid in deriving insight from education feedback surveys. Explor
This paper analyzes and determines the various socio-psychological orientations of undergraduate students studying General English in universities of Sirjan. The study focuses on instrumental and integrative orientations of students in learning English as a foreign language. In order to determine the st...
How many GPUs do I need to serve Llama 70B? To answer that, we first need to determine the amount of GPU memory required by the Large Language Model (LLM). This calculation can be done using a straightforward formula: Symbol Description: ...
This paper provides a survey of the emerging area of Large Language Models (LLMs) for Software Engineering (SE). It also sets out open research challenges for the application of LLMs to technical problems faced by software engineers. LLMs' emergent properties bring novelty and creativity with ...
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. ...