Perfect relevancy and nuance of model output
Enhanced language quality
Our expert labelers ensure that your language models produce text that is not only grammatically correct but also exhibits naturalness, conciseness, coherence, and clarity. This results in language models that generate text of higher quality, improving user experiences across various applications.
Benchmarking and model comparison
Fluency and relevancy grading provides a standardized metric for benchmarking and comparing different versions of LLMs or models from various organizations. This allows you to objectively assess and rank models, facilitating informed decisions on model selection and improvement.
Educationally relevant output
In the context of educational and language-learning platforms, fluency and relevancy grading is essential. Language models must produce responses that are not only fluent but also relevant to the learning material. This ensures that students receive accurate and contextually appropriate information, enhancing the educational experience.
Question-answering and grading system development
For question-answering and grading systems, the accuracy and relevancy of responses are of paramount importance. Fluency grading by our experts ensures that answers are not only grammatically correct, but also contextually relevant, which is crucial for improving the accuracy and effectiveness of such systems.
Translation systems
In applications involving translation tasks, fluency grading ensures that the translated text is not only faithful to the source language but also well-constructed and fluent in the target language. This guarantees that the meaning is preserved, and the output is linguistically accurate, making it valuable for businesses and individuals seeking high-quality translation services.
Reviews from early adopters
[[[[[
"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."
Romal Thoppilan
Founding Researcher @ Character.AI
Join hundreds of fast-growing teams who count on Pareto to ensure fluent and relevant LLM output.
How it works
Describe your project
We help you develop clear project guidelines, determine the ideal evaluation team, and set a cost-effective hourly rate to fit your timeline
Match with top evaluators
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 data evaluators 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 data workers
The infrastructure behind human data collection is antiquated. We’ve joined forces with seasoned data labelers, annotators, prompt engineers, 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.
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.
Pay-as-you-go
Up-front and transparent pricing tailored to your project requirements.
Improve fluency of model output in different contexts
Low fluency improvement
Problem
The low-fluency model example illustrates an issue with incoherent and poorly articulated text, which can be detrimental to effective communication. This problem hinders the model's ability to convey information clearly and understandably.
Solution
The worker, by addressing grammatical errors, sentence structure, and coherence, significantly improves the fluency of the text. The revised version ensures that the ideas are logically connected and properly expressed, resulting in a more comprehensible and engaging piece of content.
Benefits
Improved Comprehension: The edited text becomes more coherent, making it easier for readers to understand and engage with the content.Enhanced Communication: Clear and well-structured language facilitates effective communication, ensuring that the intended message is conveyed accurately.Educational Value: The process of fluency improvement is educational, as it teaches the importance of linguistic clarity and coherence in written communication.Professionalism: Well-articulated text reflects professionalism and competence, enhancing the model's credibility.Better Learning Experience: In educational contexts, students benefit from more coherent content, making learning more effective and engaging.
High fluency improvement
Problem
The high-fluency model example effectively conveys a coherent and well-articulated argument, which is contrasted with the previous low-fluency example. The problem here lies in highlighting that homework assignments may be overwhelming for students, potentially affecting their well-being and learning conditions.
Solution
The high-fluency example maintains a consistent stance and logical flow of ideas, delivering a persuasive argument. This enhanced fluency, with appropriate sentence length and advanced vocabulary, ensures that the model's message is communicated with clarity and impact.
Benefits
Effective Communication: The high fluency of the text facilitates effective communication, ensuring that the message is not only understood but also impactful.Credibility: Well-structured and articulate language enhances the credibility of the argument, making it more persuasive.Educational Value: The high-fluency model serves as an example of effective written communication, providing educational value to users.Engagement: The articulate text is likely to engage readers and encourage them to consider the presented argument more seriously.Enhanced Learning: In educational settings, students benefit from clear and coherent content that encourages critical thinking and informed discussion.
Common Questions
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 five-day period after submission, and we'll either revise the work or provide a credit refund.
Can Pareto assist with international projects outside the US?
+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 create 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.
Explore other use cases
