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High-quality, advanced programs to train AI models at scale

How does an innovative tech company get AI to support consumer queries and conversations on a variety of topics?

They use Turing AI Services to bring operational clarity, increased efficiency, and scalability for powerful interactive chatbots—including coding models to identify and correct bugs in code.

Turing Case Study: Advanced programs to train AI models at scale
Background

Background

The client wanted high-quality and advanced-level programs to train complex, interactive chatbot models. Additionally, they wanted to train AI coding models that could identify and correct bugs in their own code.

The challenge

The challenge

This client had a visionary strategy, but wanted expert help for their operations. They needed a services provider that not only had AI expertise, but could also develop and manage large scale complex model training confidently.

The solution

The solution

Collaborating closely with the client, Turing AI Services developed a top-tier methodology for training these complex models. Focused on efficiency, we used a batch training approach that allowed us to build and scale teams with the right technology experts that take our knowledge process best practices and operationalize the model training for near-instant production deployment after training.

The result

The result

With Turing AI Services, the client saw an over 80% increase in their trained model efficiency. Their model training at scale increased throughput by 300% and the best practices from our knowledge processing helped reduce handoff and deployment error significantly. 

Tech and skills used

Tech and skills used

AI/ML, Deep Learning, Kubernetes, MLOps, NLP, Python, AWS, Azure, C#, Data Engineering, Data Science, and Test Automation

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