Pareto - Premium AI & LLM Training Data Labeled by Elite Teams

Pareto Premium AI & LLM Training Data Labeled by Elite Teams

Usage Based

#data labeling
#LLM Training
#Reinforcement Learning
#Model Evaluation
#Prompt Engineering
#data collection

What is Pareto?

Pareto is a data collection platform designed to enhance AI and LLM model training by providing access to a network of highly skilled and vetted data labelers. The platform prioritizes a talent-first approach, ensuring that AI companies receive the highest quality data for fine-tuning their models.

Pareto's globally distributed network includes master annotators, evaluators, and prompt engineers with extensive experience. These professionals have collectively completed over 3,000,000 tasks for major AI/ML organizations, ensuring a high level of expertise. Pareto offers cost-effective, on-demand pricing and supports ethical crowd work through equitable compensation and collaborative management.

Features

RLHF: Human feedback on a model's output through demonstrations, evaluations, or ranking of its generated results.
Side-by-Side Model Comparison: Evaluation and ranking of outputs across multiple models.
Unique Original Content: Creation and collection of unique prompts and demonstrations of ideal responses.
Creative Hallucination Inducement: Applying strategies to induce models to break rules and determine areas that need improvement.
Honesty and Factuality Training: Evaluation and feedback to ensure model responses are honest and factual.
AI Safety, Compliance, and Ethics Training: Identifying and addressing problematic, harmful, and illegal model behavior.
In-Depth Engine Annotation: Annotating every step of the LLM process.
Data Classification & Indexing: Classification and comparison of LLM data, including text, images, audio, questions, and prompts.
Prompt Creation: Crafting highly effective prompts to stimulate creative responses from LLMs.
Term Relevancy and Item Fluency Grading: Ensuring LLM outputs are contextually relevant and fluently constructed.