Rapidly iterate your LLMs with Pareto
Error-proof workflows built into our infrastructure
Our interface for side-by-side output comparison eliminates the need for manual editing or extensive human input. As labelers are only required to provide simple feedback through scalar input, the chances of errors in syntax, grammar, or logic are reduced dramatically.
No live server? No problem
Even if your LLM is unable to connect to a live server due to budget or privacy concerns, our infrastructure allows you to continue advancing your LLM development effortlessly. With Pareto, you can enhance your language model's capabilities without the need for live engine access, ensuring uninterrupted progress regardless of server limitations.
Our evaluators aren't just generalists; they speak the language of your domain. Their deep understanding of the nuances, terminology, and context unique to your industry ensures that the evaluation process is not just accurate but also aligned with the intricacies of your sector.
Customized quality control
We take quality control seriously. Pareto allows you to set and enforce custom quality control measures to ensure the accuracy and reliability of your labeled data. From guidelines and instructions to review processes, you have the flexibility to fine-tune quality control to meet your specific project requirements.
Our services support adaptive training strategies. We help you continuously improve your LLM by adjusting the training data as your model evolves. If your requirements demand more extensive LLM training, we facilitate a smooth transition for even the most complex use cases.
Impressions from our community
"The greatest unlock for human data collection has been using Pareto to run non-conventional or experimental projects. Their on-demand experts are a game changer for getting quality data across a broad scope of tasks with minimal commit and transparent costs."
Founding Researcher @ Character.AI
Join hundreds of fast-growing teams who count on Pareto to train and perfect their early-stage language models.
How it works
Describe your project
We help you develop clear project guidelines, determine the ideal labeling team, and set a cost-effective hourly rate to fit your timeline
Match with top labelers
We assemble your team same-day from our vetted network. If you have unique needs, we can find the right experts in just 3–5 days
Project managed & quality assured
We support labelers to deliver the highest quality data with paid trials, expert review and feedback, gold standard items, and more QA techniques
Built by and for a new generation of labelers
The infrastructure behind human data collection is antiquated. We’ve joined forces with seasoned data labelers and crowdwork researchers to redefine the relationship between workers and requesters.
Pareto operates on the principles of equitable compensation, collaborative management, and expert evaluation and feedback. Our mission is to empower talented and diverse professionals worldwide to contribute to AI training.
Leverage side-by-side RL in various contexts
Coding an add-on for an LLM
A developer is working on a coding addon for an LLM. They’ve encountered an issue where the engine-created code doesn't always work as expected. The engine-generated code sometimes produces errors or doesn't function properly, leading to inefficiencies in the coding process.
To ensure the highest quality code output, evaluators perform a thorough review of 1000 instances of code generated by the LLM. The data evaluators upvote the working code and downvote any broken, bugged, or suboptimal code. This feedback mechanism ensures that only the most reliable and effective code is incorporated into the addon, enhancing its overall performance and reliability.
Drastic improvement in code functionality with reduced probability of errors.
- Enhanced model accuracy and relevance
- Continuous adaptation of models to meet evolving user expectations
- Reduction in model drift, ensuring consistent and dependable performance
Creating a Travel Copywriting Assistant Model
A language model, designed to assist with travel-related copywriting, sometimes introduces Japanese characters and generates sentences that are not fluent in English, affecting the overall quality of the articles.
Pareto’s evaluators conduct an extensive evaluation of 8000 blog articles generated by the model. Pareto’s interface contains a mechanism to rank and rate the performance of different iterations of the model, with the goal of identifying the bot that produces the most accurate and fluent content while minimizing errors.
The travel copywriting assistant consistently delivers high-quality, error-free content, meeting the expectations of the target audience and clients.
Enterprise-grade scale and quality
Fully managed service
Our project managers are just a Slack message or email away.
24/7 Global support
Our distributed team of experts offer assistance around the clock.
Up-front and transparent pricing tailored to your project requirements.
How long does it take to get set up with Pareto?+
Our team can have you up and running with Pareto in as little as 24 hours. Interested in getting started? Speak with our team!
Can I use Pareto for a one-time project, or do I need to commit to a long-term contract?+
You do not need to commit to a long-term contract. Pareto offers cost-effective and on-demand pricing. Fair hourly rates are set based on the expertise and skills of the workforce you need.
What measures does Pareto take to ensure work quality?+
We create precise guidelines and cost estimates upfront. Your project manager reviews project timelines, costs, and success criteria with you before each batch of tasks to ensure results that meet or surpass your expectations.
Does Pareto offer post-project support?+
Absolutely. Your project manager remains accessible to assist with any inquiries or issues that may arise following the project's completion. Should any outcomes fall short of your project's requirements, inform us within a 10-day period after delivery, and we'll either revise the work or provide a credit refund.
Can Pareto assist with international projects outside the US?+
Yes! Pareto collaborates with companies worldwide, adapting to different time zones and team requirements. We have experience in handling international projects with ease. Our data experts are distributed across the globe, ensuring uninterrupted and reliable service around the clock.
How experienced is the team at Pareto?+
Pareto boasts an elite network of prompt engineers, annotators, and evaluators with expertise in finance, healthcare, engineering, and more. We also recruit, train, and upskill people from all walks of life, striving to democratize a rewarding career in data work for anyone with the right ambition.
What types of projects can Pareto support?+
Pareto is adept at handling a diverse array of manual, data-centric tasks and operations for AI companies. From fine-tuning LLM's with human feedback to data curation and labeling, we do it all. Just share your objectives with us, and we'll customize our AI-driven workflows to suit your specific requirements.
Ensure factual accuracy for your models
Explore other use cases