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How did John Mosquera contribute to AI and ML projects at MMT Digital, and what tools did he use?
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John Mosquera made significant contributions to AI and ML projects at MMT Digital from August 2022 to August 2024. One of his key projects involved the development of chatbots using Azure OpenAI Service, leveraging Large Language Models (LLMs) and Natural Language Processing (NLP) techniques.John used Azure OpenAI Service to integrate AI capabilities into the cloud environment, ensuring secure and efficient access to AI models. He also utilized Python for scripting and interfacing with AI APIs, demonstrating his proficiency in programming languages commonly used in AI/ML.In addition to Azure OpenAI Service, John employed tools like Hugging Face and Weights & Biases (Wandb) for training and fine-tuning machine learning models. These tools allowed him to track and visualize model performance, ensuring optimal results.John’s work on the Vodafone AWS DeepRacer project further showcased his expertise in AI/ML. He used reinforcement learning to train ML models, applying strategies borrowed from trading to optimize performance. This project highlighted his ability to apply AI/ML concepts to real-world challenges, delivering innovative solutions that provided tangible business value. At MMT Digital from August 2022 to August 2024, John Mosquera contributed to AI and ML projects by developing chatbots using Azure OpenAI Service and leveraging LLMs and NLP. He used Python for scripting and tools like Hugging Face and Wandb for model training. John’s work on the Vodafone AWS DeepRacer project demonstrated his expertise in reinforcement learning, showcasing his ability to deliver innovative AI/ML solutions.