What is Large Language Model (LLM) Data? Uses, Types & Data Examples
What is Large Language Model (LLM) Data?
Large Language Model (LLM) data refers to a collection of textual and visual information used to train advanced language models. LLM data is essential for developing language models capable of understanding human language and generating text or images. This data includes books, images, articles, websites, and conversational transcripts. Examples of LLM data encompass text collections, annotated sentences, and large-scale multilingual data. On this page, you’ll find the best data sources for various types of Large Language Model (LLM) data.
Best Large Language Model (LLM) Data Databases & Datasets
Here is Datarade's curated selection of top Large Language Model (LLM) Data. These trusted databases and datasets offer high-quality, up-to-date information.
Nexdata | Foundation Model Data Collection and Data Annotation | Large Language Model(LLM) Data | SFT Data | RHLF | Red Teaming Services
FileMarket | 20,000 photos | AI Training Data | Large Language Model (LLM) Data | Machine Learning (ML) Data | Deep Learning (DL) Data |
800,000 SFX Professional Sound Effects | Human Metadata | Ideal for Large Language Model (LLM) Data | Soundsnap
Nexdata | Large Language Model Data | SFT Data| Pre-training Data| LLM Data|Text AI & ML Training Data | Natural Language Processing (NLP) Data
Music Data for Large Language Models LLM | 50,000 Music Files | Updated Weekly | Royalty Free Music | Pre-cleared for Generative AI
FileMarket | Telegram Users Geolocation Data with IP & Consent | 50,000 Records | AI, ML, DL & LLM Training Data
Bitext | AI Training Data | Hybrid Synthetic Data for LLM Finetuning | Custom Training and Evaluation Datasets for Chatbots
FileMarket | Telegram Users Global Web Browsing & Activity Data Feed | 50,000 Records | AI, ML, DL & LLM Training Data
Bitext | AI Training Data | Textual Data | 9 Languages for Synthetic Text Data | 100% Utterances Semantically Equivalent | 20 Verticals Covered
Nexdata | Multimodal Data Solutions | Generative AI | Multimodal Data | Digital Human | Data Collection and Annotation | Deep Learning (DL) Data
Monetize data on Datarade Marketplace
What are Examples of Large Language Model Data?
Examples of LLM data include:
- Books and Literature: Digitized versions of works across various genres.
- News Articles: Articles from newspapers, magazines, and online news platforms covering a wide range of topics.
- Websites: Text from blogs, forums, and social media platforms that provide diverse conversational.
- Scientific Papers: Research papers and journals that offer specialized and technical language data.
What Data Type is Large Language Model Data?
Large Language Model (LLM) data includes various data types essential for AI training:
- Textual Data: This forms the backbone of LLMs. It includes written content like books, articles, websites, and social media posts, as well as numerical data such as vectors, matrices, and tensors.
- Structured Data: Sometimes, models utilize data from structured formats like databases, tables, or CSV files, especially for tasks involving structured text.
- Metadata: Additional information about the text, such as the source, publication date, and author.
- Tokenized Data: Text is broken down into tokens—words, subwords, or characters. These tokens are the basic units for the LLM learning process.
- Training Labels: In supervised learning, labeled data pairs each text piece with a label or category. This helps in tasks like classification, named entity recognition, and sentiment analysis.
What are Large Language Model Use Cases?
LLM use cases include:
- Generative AI: LLMs can create high-quality written content for blogs, social media, and websites, enhancing productivity for writers and marketers.
- Customer Support: Automated chatbots powered by LLMs can provide efficient and accurate responses to customer inquiries, improving user experience and reducing response times.
- Language Translation: LLMs can translate text between languages with high accuracy, making global communication more accessible and efficient.
- Sentiment Analysis: Businesses use LLMs to analyze customer feedback and social media posts to gauge public sentiment and improve their products and services.
Where Can I Get Data for LLM?
Data for training LLMs can be sourced from various places, including digital libraries, academic repositories, and online platforms. Datarade offers a selection of top-tier providers to meet your LLM training data needs. Our marketplace ensures high-quality LLM datasets from the best AI training data sources.
Frequently Asked Questions
Where can I buy Large Language Model (LLM) Data?
Data providers and vendors listed on Datarade sell Large Language Model (LLM) Data products and samples. Popular Large Language Model (LLM) Data products and datasets available on our platform are Nexdata | Foundation Model Data Collection and Data Annotation | Large Language Model(LLM) Data | SFT Data | RHLF | Red Teaming Services by Nexdata, FileMarket | 20,000 photos | AI Training Data | Large Language Model (LLM) Data | Machine Learning (ML) Data | Deep Learning (DL) Data | by FileMarket, and 800,000 SFX Professional Sound Effects | Human Metadata | Ideal for Large Language Model (LLM) Data | Soundsnap by Soundsnap.
How can I get Large Language Model (LLM) Data?
You can get Large Language Model (LLM) Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Large Language Model (LLM) Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Large Language Model (LLM) Data APIs, feeds and streams to download the most up-to-date intelligence.