The most trusted LLM safety & AI alignment experts
Ensure LLM safety and AI alignment
Leverage Turing’s expertise in LLM safety and AI alignment to build models that are fair, transparent, and ethically responsible. Ensure compliance and minimize risks for scalable and trustworthy AI deployments.
Ethical AI for a responsible future
Secure the future of technology with our comprehensive AI alignment and LLM safety evaluation solutions, including bias mitigation and safety protocols, ensuring responsible and reliable model operation.
AI alignment and safety specialties
AI alignment and LLM safety evaluation
AI ethics and alignment consulting
AI alignment with RLHF
Bias mitigation and content moderation
LLM safety protocols
Regulatory compliance and security services
AI alignment and LLM safety training starts here
Start your AI alignment and LLM safety project
Model evaluation and analysis
Our experts perform an in-depth LLM safety evaluation to detect and resolve ethical and security issues.
Customized strategy and team building
We develop a tailored strategy and assemble a dedicated team of experts to align your models with ethical guidelines and LLM safety standards.
Task implementation and monitoring
Our team implements the AI alignment strategy and continuously monitors your models to ensure ongoing compliance and reliability.
Scale on demand
Adapt and scale our AI alignment and LLM safety solutions as your models evolve and grow.
Start your AI alignment and LLM safety project
Our solutions architects are here to help you ensure your AI models are ethical, safe, and compliant.
Cost-efficient R&D for LLM training and development
Empower your research teams without sacrificing your budget or business goals. Get our starter guide on strategic use, development of minimum viable models, and prompt engineering for a variety of applications.
“Turing’s ability to rapidly scale up global technical talent to help produce the training data for our LLMs has been impressive. Their operational expertise allowed us to see consistent model improvement, even with all of the bespoke data collection needs we have.”
Want reliable and ethical AI models?
Talk to one of our AI ethics consultants and begin your journey towards responsible AI today.
Frequently asked questions
Find answers to common questions about AI alignment and LLM safety.
How does Turing mitigate bias in AI models?
We employ advanced bias mitigation techniques, including diverse data collection, rigorous testing, and continuous monitoring to ensure equitable and accurate outcomes.
What safety protocols do you implement for AI models?
We develop and enforce comprehensive LLM safety protocols, starting with LLM safety evaluation to assess vulnerabilities, prevent misuse, and ensure reliable operation. These protocols include regular audits, red teaming, content moderation, and the application of NeMo Guardrails to ensure your model operates within safe parameters.
Can you customize your LLM safety solutions to fit our specific needs?
Yes, our team can develop and implement customized LLM safety solutions designed to meet your unique business and industry requirements.
Do you offer ongoing support and monitoring after the initial AI alignment?
Yes, we provide ongoing support and monitoring to ensure your LLMs remain aligned and compliant over time. Our continuous monitoring services include regular updates, performance assessments, and real-time adjustments to maintain the highest AI alignment and LLM safety standards.
How do you handle data privacy and security during the AI alignment process?
We prioritize data privacy and security throughout the AI alignment process by implementing robust security measures, such as encryption, access controls, and compliance with data protection regulations, to safeguard your sensitive information.
What are the key indicators of a misaligned AI model?
Key indicators of a misaligned AI model include biased or unfair outputs, failure to comply with ethical guidelines, and responses that don’t align with human values. At Turing, we identify and address these issues through rigorous model evaluation and monitoring.