40% of FAANG companies trust Sama to deliver industry-leading data that powers AI
Assessing user queries involves checking the clarity of the user's question for accuracy, helpfulness, and adherence to policies. Each aspect is assigned a rating using predefined codes for prompt classification. Our team also improves prompts by rewriting for clarity and intent.
Our team helps build smarter conversational AI solutions by creating annotated datasets that help train LLMs to master the nuances of the English language. This highly nuanced data enables models to deliver natural and engaging responses within conversational AI systems.
Our team will validate data created by generative models—including text, images and videos—for alignment. We’ll review images or other synthetically generated data to ensure they are real-world scenarios. Logical errors are identified and re-annotated to create additional training data sets to fine tune generative models.
Sama’s team of experts review replies to ensure they are factually correct and do not contain any leaps in logic. Any errors identified are re-created to develop additional training data to fine tune and align generative models.
Sama's workforce reviews Generative AI outcomes, analyzing images in context, classifying production modalities, and tagging elements. This human validation enhances the accuracy and relevance of the annotations, ensuring they align with specific use cases.
Our team can help create annotated datasets to help LLMs grasp the nuances of language, understand relationships between concepts, and identify key information within text to comprehend complex questions.
This helps models understand and respond to user queries more accurately.
Sama's workforce reviews responses and flags any statements that reinforce stereotypes or make unwarranted generalizations. This helps improve overall representation and inclusivity.
Sama’s model evaluation projects start with tailored consultations to understand your requirements for model performance. We’ll align on how you want your model to behave and set targets across a variety of dimensions.
Our team of Solutions engineers will collaborate with your team to connect to our platform and ensure a smooth flow of data. This can involve either connecting to your existing APIs or having custom integrations built specifically for your needs.
Our expert team meticulously crafts a plan to systematically test and evaluate model outputs to expose inaccuracies. We follow a robust evaluation process that involves a thorough examination of both prompts and the corresponding responses generated by the model. We will assess these elements based on predefined criteria, which may include factors like factual accuracy, coherence, consistency with the prompt's intent, and adherence to ethical guidelines.
As errors in model outputs are identified, our team will begin creating an additional training data set that can be used to finetune model performance. This new data consists of rewritten prompts and corresponding responses that address the specific mistakes made by the model.
When the project is complete, we follow a structured delivery process to ensure smooth integration with your LLM training pipeline. We offer flexible and customizable delivery formats, APIs, and the option for custom API integrations to support rapid development of models.
With over 15 years of industry experience, Sama’s data annotation and validation solutions help you build more accurate GenAI and LLMs—faster.
Our team will help you build upon an existing LLM to create a proprietary model tailored to your specific needs. We’ll craft new prompts and responses, evaluate model outputs, and rewrite responses to improve accuracy and context optimization.
Our human-in-the-loop approach drives data-rich model improvements & RAG embedding enhancements through a variety of validation solutions. Our team provides iterative human feedback loops that score and rank prompts along with evaluating outputs. We also provide multi-modal captioning and sentiment analysis solutions to help models develop a nuanced understanding of user emotion and feedback.
We’ll help create new data sets that can be used to train or fine tune models to augment performance. If your model struggles with areas such as open Q&A, summarization or knowledge research, our team will help create unique, logical examples that can be used to train your model. We can also validate and reannotate poor model responses to create additional datasets for training.
Our team of highly trained of ML engineers and applied data scientists crafts prompts designed to trick or exploit your model’s weaknesses. They also help expose vulnerabilities, including generating biased content, spreading misinformation, producing harmful outputs and more to improve the safety and reliability of your Gen AI models. This includes large scale testing, fairness evaluation, privacy assessments and compliance.
Our team is trained to provide comprehensive support across various modalities including text, image, and voice search applications. We help improve model accuracy and performance through a variety of solutions.
Our proactive approach minimizes delays while maintaining quality to help teams and models hit their milestones. All of our solutions are backed by SamaAssure™, the industry’s highest quality guarantee for Generative AI.
SamaIQ™ combines the expertise of the industry’s best specialists with deep industry knowledge and proprietary algorithms to deliver faster insights and reduce the likelihood of unwanted biases and other privacy or compliance vulnerabilities.
SamaHub™, our collaborative project space, is designed for enhanced communication. GenAI and LLM clients have access to collaboration workflows, self-service sampling and complete reporting to track their project’s progress.
We offer a variety of integration options, including APIs, CLIs, and webhooks that allow you to seamlessly connect our platform to your existing workflows. The Sama API is a powerful tool that allows you to programmatically query the status of projects, post new tasks to be done, receive results automatically, and more.
First batch client acceptance rate across 10B points per month
Get models to market 3x faster by eliminating delays, missed deadlines and excessive rework
Lives impacted to date thanks to our purpose-driven business model
2024 Customer Satisfaction (CSAT) score and an NPS of 64
Learn more about Sama's work with data curation
To ensure effective and responsible implementation of Gen AI, financial institutions must navigate challenges such as model explainability, data privacy, and regulatory compliance. By understanding the tech’s potential and the strategies for overcoming associated risks, you can position your organization for a competitive advantage in the age of intelligent automation. Here are four key things to consider.
Sama provides ML Professionals and AI team Leads with an indispensable solution for Computer Vision data labeling.
