llm-engineering
engineering-llm-systems
Engineering LLM-Integrated Systems
Engineering LLM-Integrated Systems is course at Northeastern University that teaches students how to
build software that uses LLMs under the hood from a systems perspective. The course teaches students
how to build interactive software systems that testable, scaleable, and well-designed, despite the
fact that they are working with an essential component -- the LLM -- that can behave in unpredictable ways.
This repository contains the datasets that… See the full description on the dataset page: https://huggingface.co/datasets/nuprl/engineering-llm-systems.LLM_Electrical_Engineering_Educational_Synthetic_DialogDataset Card for LLM_Electrical_Engineering_Educational_Synthetic_Dialog
The full CJ Jones' synthetic dataset catalog is available at: https://datadeveloper1.gumroad.com
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Dataset Description
The LLM_Electrical_Engineering_Educational_Synthetic_Dialog dataset contains AI-generated conversational interactions designed for training large language models in electrical engineering education. This synthetic dialogue corpus simulates tutor-student… See the full description on the dataset page: https://huggingface.co/datasets/CJJones/LLM_Electrical_Engineering_Educational_Synthetic_Dialog.details_gmonsoon__OpenMia-Indo-Engineering
Dataset Card for Evaluation run of gmonsoon/OpenMia-Indo-Engineering
Dataset automatically created during the evaluation run of model gmonsoon/OpenMia-Indo-Engineering on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_gmonsoon__OpenMia-Indo-Engineering.llm-engineering-sft-8000
大模型工程化 SFT 数据集
这是一个面向大模型研发与工程化应用的中文 Alpaca 格式 SFT 数据集，共 8,000 条样本。
字段
instruction：用户问题或指令
input：空字符串
output：助手回答
主题范围
数据集覆盖 LoRA、QLoRA、PEFT、SFT、RAG、向量检索、Embedding、LLM Agent、工具调用、量化、推理部署、LLMOps、基础设施、模型评估、安全对齐等方向。
数据处理说明
数据来自经过清理的 Markdown 学习资料，并经过问题生成、答案生成、问题级质检、答案级离线分流、人工抽检和最终筛选。最终版本只保留 8,000 条主训练样本，字段已按 Alpaca 格式整理。
加载示例
from datasets import load_dataset
dataset = load_dataset("Nwna/llm-engineering-sft-8000")
print(dataset["train"][0])… See the full description on the dataset page: https://huggingface.co/datasets/Nwna/llm-engineering-sft-8000.details_indischepartij__OpenMia-Indo-Engineering-7b
Dataset Card for Evaluation run of indischepartij/OpenMia-Indo-Engineering-7b
Dataset automatically created during the evaluation run of model indischepartij/OpenMia-Indo-Engineering-7b on the Open LLM Leaderboard.
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train"… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_indischepartij__OpenMia-Indo-Engineering-7b.llm-engineering-instruct-dataset