AI startups train their NLP models on OVHcloud AI Training to improve the quality of corporate customer support
NLP model training for customer service
AI continues to accelerate digital transformation in the Customer Relationship Management (CRM) sector and has greatly improved the quality of service. By engaging in open innovation, AI startups and large companies have embraced the Natural Language Processing (NLP) revolution. Dealing with high volumes of multi-channel customer requests can be difficult to process, especially with limited resources.
As an NLP tech expert, finding a scalable and cost-efficient platform to train your ML model at scale is a key challenge.
Why choose OVHcloud AI Training?
OVHcloud AI Training offers your startup a single platform for all your training. It can process large amounts of labeled data to effectively train your NLP models and reliably infer sentiment.
AI Training will enable you to perform data labeling, train your model, and compute its uncertainty on the unlabelled data pool.
The flexibility of OVHcloud AI Training allows external models to be incorporated into the platform, trained on data labeled within it, benchmarked against other models, and optimized for a specific use case.
When performing your training, you benefit from OVHcloud’s GPU-as-a-service, which offers some of the best price-to-performance ratios on the market. Thanks to job parallelization, you can drastically reduce your training times while benefiting from the power and scalability of our Public Cloud GPU.
Benefit 1: Shorten your development life-cycle
Job parallelization significantly shortens training times.
Benefit 2: Empower your R&D/data lab with the best AI training tools & services
Train your NLP model from experimentation to deployment. Benchmark within a single platform that includes all the tools, capabilities, and services you need.
Benefit 3: Free your staff from complex infrastructure management
Leverage OVHcloud’s Infrastructure-as-code offering to free your data practitioners from complex management tasks.