论文标题:Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs论文链接:arxiv.org/pdf/2406.2009项目链接:mbzuai-llm.github.io/we多模态大型语言模型(MLLMs)在图像、视频和音频等多种模态的理解和生成任务中展现了显著的成功。然而,现有的MLLMs在理解网页截图并生成相应...
因此,论文强调需要进一步研究学习目标和方法的设计,以兼顾功能正确性和与编码偏好的一致性。 论文标题:CodeUltraFeedback: An LLM-as-a-Judge Dataset for Aligning Large Language Models to Coding Preferences 论文链接:arxiv.org/pdf/2403.0903 发布于 2024-03-25 18:57・广东...
(Remember this is a quickstart just to demonstrate the tools -- To get good quality, the LLM must be trained for longer than 10 batches 😄) cdscripts#Convert C4 dataset to StreamingDataset formatpython data_prep/convert_dataset_hf.py \ --dataset allenai/c4 --data_subset en \ --out_...
Can LLM-Generated Misinformation Be Detected? The repository (dataset and code) for the ICLR 2024 paper Can LLM-Generated Misinformation Be Detected? Authors: Canyu Chen, Kai Shu Paper : [arXiv] Project Website : llm-misinformation.github.ioTLDR : We discover that LLM-generated misinformation ...
这也是一个通用的方案,使用peft微调LLM。 准备自己的数据集 根据情况改就行了,jsonl格式,三个字段:context, answer, question import pandas as pd import random import json data = pd.read_csv('dataset.csv') train_data = data[['prompt','Code']] ...
For more information, see E2E Development and Usage of LLM: Data Processing + Model Training + Model Inference. Feedback Previous: Data processingNext: Data processing for LLM (web text data from Wikipedia) On this page(1, T) Prerequisites Dataset Procedure References...
This hand-crafted dataset, consisting of 164 programming challenges, and the novel evaluation metric, designed to assess the functional correctness of the generated code, have revolutionized how we measure the performance of LLMs in code generation tasks. This article delves into the intricacies of ...
Crystal: "Crystal: Illuminating LLM Abilities on Language and Code" [2024-11] [paper] Zyda-2: "Zyda-2: a 5 Trillion Token High-Quality Dataset" [2024-11] [paper] Xmodel-1.5: "Xmodel-1.5: An 1B-scale Multilingual LLM" [2024-11] [paper] Yi-Lightning: "Yi-Lightning Technical ...
Utilizing the advanced function calling capabilities of LLMs, we build a fully automated system with an enhanced workflow and support for external tool calls. Our benchmark dataset and automated framework allow us to evaluate the performance of five LLMs, encompassing both black-box and open-...
LLM Task Pipeline Dataset Task Type Components LLM Calls One LLM ObjectCount Simple QA on counting objects of a particular category 1 (generator) 1 One LLM TREC-10 Classify a question into one of 6 coarse classes 1 (generator) 1 Vanilla RAG HotPotQA Multi-hop QA 2 (retriever + generator)...