Accelerate your LLM reasoning and coding capabilities by generating high-quality, proprietary human data for supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and direct preference optimization (DPO).
Join top foundational LLM companies who have trusted Turing
Turing uses a multi-point model measurement, improvement, and enhancement methodology. This methodology optimizes the way your LLM training team approaches coding, data analysis, multimodal reasoning and more.
Combine inputs and ideas from your product owners and researchers with our coding, data, and multimodal reasoning analysis
Our LLM training team configures to your new or backlogged training tasks based on skill relevancy and performance
Easily shift resource allocation as your product needs evolve with strategic reuse of our high-performing training team
Get high-quality data with human discernment as the performance benchmark for your evaluation and testing tasks
Get high-quality data employing SFT for continuous model enhancements on your identification and data generation tasks
Get high-quality data employing RLHF for continuous model enhancements on your comparison and judgment tasks
Over the last two years, Turing has helped many of the most famous foundational LLM companies enhance their reasoning, coding, and other high level cognitive capabilities.
Turbocharge your LLMs with our network of experienced software engineers, trainers, data scientists and other technologists.
We can generate custom proprietary data for your fine-tuning and other training needs.
Enable an AI model to fetch and analyze real-time data for improved accuracy, adaptability and personalized insights in dynamic decision-making processes.
Enhance the reasoning capabilities of an AI model to reduce code errors during validation—generating and testing corner cases for error-free code.
Using problem statements and brief instructions, an AI model can generate code, evaluate it, recognize mistakes, and attempt to fix them.