Accessing Edmunds' data - Edmunds Help Center
Please note that we do not offer data for sale or for license. However, you can find a number of standard reports available for download from our Industry Data Center.
LLMDataHub: Awesome Datasets for LLM Training - GitHub
In this repository, we provide a curated collection of datasets specifically designed for chatbot training, including links, size, language, usage, and a brief description of each dataset.
Load Edmunds data in Python using dltHub
We’ll show you how to generate a readable and easily maintainable Python script that fetches data from edmunds_migration’s API and loads it into Iceberg, DataFrames, files, or a database …
Major Data Sources for LLMs - ScrapeHero
Sep 20, 2024 · LLMs rely on a variety of data sources to build their capabilities. We have listed the primary categories below: This includes data from websites, articles, blogs, and forums. …
LLM Training Data: The 8 Main Public Data Sources - oxylabs.io
Sep 27, 2024 · Find out the most beneficial public data sources you can web scrape for LLM training and fine-tuning. Moreover, get a general overview of LLM training data and training …
Edmunds Developer Network - Welcome to the Edmunds API
6 days ago · This API offers access to Edmunds.com's automotive articles and vehicle editorial reviews, including video reviews, vehicle pros, vehicle cons, safety and performance reviews.
LLM Training Data: Where Do LLMs Get Their Data - netnut.io
Apr 29, 2025 · In this article, we’ll explore the fundamentals of LLM training data, dive into where LLMs get their data, and show how tools like NetNut’s proxy
15+ High-Quality LLM Datasets for Training your LLM Models
Oct 28, 2024 · But behind every powerful LLM lies a crucial ingredient: its training data. Just like humans learn from the information they consume, LLMs require massive datasets to refine …
LLM Training Datasets - Data Behind the Models
Explore the datasets used to train large language models and understand their impact on model capabilities, sizes, and limitations.
GitHub - mlabonne/llm-datasets: Curated list of datasets and …
To ensure the quality of a dataset, it is essential to combine various techniques, such as manuals reviews, heuristics like rule-based filtering, and scoring via judge LLMs or reward models.