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)...
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']] ...
HumanEval is a benchmark dataset developed by OpenAI that evaluates the performance of large language models (LLMs) in code generation tasks. It has become a significant tool for assessing the capabilities of AI models in understanding and generating code. In this tutorial, we will learn about ...
test_data = dataset["test"] def preprocess_data(examples): return { "input_ids": tokenizer(examples["text"], truncation=True, padding=True)["input_ids"], "labels": examples["text"] } processed_train = train_data.map(preprocess_data, batched=True) ...
dataset此文件夹包含模板的数据集(dataset-classification.json- 包含短语和音调的 JSON 行文件)。 如果将项目设置为使用本地文件或 Hugging Face 数据集,则可以忽略此文件夹。 微调要执行微调工作的Olive配置文件。 Olive 是一种易于使用的硬件感知模型优化工具,包含模型压缩、优化和编译等方面的行业领先技术。 Olive ...
(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_...
Want to train a custom LLM for code? We've got you covered. Below is an example using theSeq2SeqTrainerto fine-tune aCodeT5+ pretrained model, along with our dataset utilities, make it easy to fine-tune your models using the CodeXGLUE dataset. Here's an example: ...
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...
论文介绍了使用CodeUltraFeedback作为偏好数据来提高LLM与编码偏好的一致性的实验设置,其中包括使用SFT和DPO。目的有两个:验证CodeUltraFeedback在LLM与编码偏好对齐中的实用性,并展示使用SFT和DPO调优的小型LLM可以实现更高的对齐性能。 2.4.1. 监督微调(SFT) 正如Zephyr的论文[38]所示在使用DPO调优LLM之前需要进行一...