Large, Pre-trained Language Models has revolutionized machine learning especially in naturual language processing (NLP). Building on over 10 year experience in NLP, I work with my clients to select, adapt and fine tune language models for specific R&D domains.

  • GPT-3

    Develop relevant use cases based on GPT-3, a commerical lanague model service. Perform prompt engineering and fine tuning.

  • Hugging Face

    Leverage Hugging Face model / dataset libraries, APIs, and infrastructure to make use of public language models.

  • SpaCy

    Use the SpaCy library and the associated ecosystem for rapid development of NLP models.

  • AWS SageMaker

    Use of AWS SageMaker machine learning platform to quickly prototype, develop, deploy and manage NLP models for Ramp;D tasks.

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