What is Turing?

Turing assists AI labs in enhancing model performance through advanced data infrastructure, human-in-the-loop systems, and sophisticated post-training techniques. It specializes in LLM evaluation, assessing model performance, accuracy, and scalability, along with training to improve reasoning, coding, and knowledge using proprietary human data. The platform incorporates multimodality by integrating text, images, and videos, aiming for human-like intelligence, while also focusing on LLM factuality through advanced verification, bias detection, and source credibility assessment, alongside alignment and safety protocols like RLHF integration.

For enterprises, Turing Intelligence delivers customizable generative AI products and solutions, accelerates AI adoption, optimizes ML operations, and offers custom engineering services including application development and cloud migration. Specific solutions mentioned include AI agents for CMS/FDA audits, code generation copilots, underwriting AI agents, and e-commerce personalization agents. Turing bridges AI research with practical deployment, enabling organizations to leverage breakthroughs in AI reasoning, problem-solving, and coding for real-world applications and connects businesses with a large pool of vetted technical professionals.

Features

LLM Evaluation: Comprehensive assessment of model performance, accuracy, and scalability.
LLM Training and Development: Improves LLM reasoning, coding, and knowledge using proprietary human data.
Multimodal LLM Capabilities: Integrates text, images, and videos for enhanced AI intelligence.
LLM Factuality and Alignment: Advanced fact verification, bias detection, source credibility assessment, and RLHF integration.
Customizable Generative AI Solutions: Develops tailored genAI products and solutions for enterprise needs.
AI/Data Services: Accelerates AI adoption and optimizes Machine Learning operations.
Custom Engineering: Provides application development, cloud migration, and other engineering solutions.
Specialized AI Agents: Offers pre-built agents like CodeGen Copilot and Underwriting AI Agent.
On-Demand Talent: Access to a network of technical professionals and AI experts.

Use Cases

Improving LLM performance for AI research labs.
Deploying enterprise-grade generative AI applications.
Developing custom AI agents for specific business processes (e.g., code generation, underwriting, compliance audits).
Enhancing AI model reasoning, coding, and problem-solving capabilities.
Integrating multimodal data (text, images, video) into AI systems.
Ensuring AI model safety, factuality, and alignment.
Accelerating AI adoption and ML operations within organizations.
Sourcing specialized AI and engineering talent for projects.