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    TELUS International Launches Fine-Tune Studio to Deliver High-Quality Datasets for Advanced AI Models

    ManufacturingNews

    TELUS International Launches Fine-Tune Studio to Deliver High-Quality Datasets for Advanced AI Models

    Our goal with Fine-Tune Studio is to empower our clients to navigate the evolving landscape of AI with confidence

    Last updated

    TELUS International, a global leader in digital customer experience innovation, announced today the debut of Fine-Tune Studio, a pioneering task-execution platform engineered to generate top-tier fine-tuning datasets for large language models (LLMs) and generative AI (GenAI) models. This groundbreaking innovation was unveiled during the 2024 World Summit AI in Montreal, Canada, taking place on April 24-25.

    Empowering AI Advancement

    Fine-Tune Studio is integrated within TELUS International’s comprehensive AI Data Platform, bolstering the company’s fully-managed GenAI data services accessible to LLM builders and adopters worldwide. Capable of creating high-caliber datasets in over 100 languages, Fine-Tune Studio offers versatility across diverse domains such as STEM, healthcare, finance, law, and coding. The platform supports a range of labeling tasks, from text to audio, image, and video, facilitating supervised fine-tuning, reinforcement learning through human feedback, direct preference optimization, and red teaming.

    "As AI becomes increasingly embedded in our daily lives, ensuring the accuracy and integrity of training datasets is paramount," emphasized Siddharth Mall, Vice President of Product for TELUS International AI Data Solutions. "Fine-Tune Studio represents a significant stride in our commitment to providing meticulously vetted data, enhancing our clients' model performance, adaptability, and safety."

    Unprecedented Accuracy and Efficiency

    Fine-Tune Studio boasts native AI integrations including real-time plagiarism detection, tone analysis, and spelling and grammar checks, elevating output accuracy while streamlining task completion. Configurable task and quality assurance workflows empower clients to tailor quality control processes, optimizing project management efficiency.

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    About the author

    Anshika Mathews

    Anshika is the Global Media Lead for AIM Media House. She holds a keen interest in technology and related policy-making and its impact on society.

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