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TurinTech announces integration with Hugging Face Transformers to empower business to build their own generative AI models with full control

TurinTech, the award-winning leader in AI-powered code optimisation has today announced a new feature in its product integration with Hugging Face, the leading open source AI community that has built the fastest-growing, open-source, library of pre-trained models in the world.

TurinTech’s evoML empowers businesses to build efficient machine learning model code from raw data and optimise the performance of existing machine learning model code. To help companies tailor generative AI models to address specific business challenges, the integration with Hugging Face’s Transformers will empower businesses to train large language models with their own data directly on evoML platform to cater their specific use cases, such as customer support or fraud detection in finance.

More than 10,000 Hugging Face transformer models are now available through the evoML platform to help businesses build their own generative AI models. By customising Hugging Face transformer models through evoML, businesses can get production quality code in a matter of days instead of months. Multiple transformer models can be trained on evoML simultaneously to determine the best one for the business, with greater accuracy and full control.

Other benefits of the integration include:

Improving the accuracy of pretrained models by incorporating private data Using TurinTech’s evoML platform, companies can customise generative NLP models from Hugging Face and tackle unique business requirements, increasing the accuracy of pretrained models.

Having complete control over Generative AI model code This integration allows full ownership of the on-premise model without worrying about data privacy and security vulnerabilities.

No more manual model downloads with automation The evoML platform automates the entire data science pipeline and allows for experimentation with various transformer models without leaving the platform.

Dr Leslie Kanthan, CEO and co-founder at TurinTech, commented: “This integration with Hugging Face enables enterprises to quickly develop and deploy production-quality generative AI model code with improved accuracy, without worrying about data security. Businesses can now access thousands of Hugging Face models within the evoML platform. This feature is beneficial to many industries, but it’s especially useful for the finance industry, which is highly regulated and requires unparalleled accuracy when it comes to handling private financial data. By using our integration, finance professionals can ensure that their language models are tailored to their unique use cases, resulting in more efficient ML workflows and better outcomes for their clients.”

This was posted in Bdaily's Members' News section by Lucy Jefferson .

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