David Berrio, our Senior AI/ML Engineer, will take you step by step on how to deploy an LLM locally on your machine using a RAG (Retrieval-Augmentation Generation) model architecture.
Why is this important?
Many enterprises are moving from POC to scaling and tools like ChatGPT can become cost-prohibitive and don’t allow as much flexibility. Plus infosec teams don’t like relying on API-based models like chatGPT.
Open-source models are quickly closing the gap.
By deploying LLMs locally you can test and fine-tune with different LLMs before shifting them to your cloud instance or on-prem.
PS. Services like AWS and Azure provide GPU options needed to scale these LLM models.
David Berrio is a seasoned professional in AI and Data Science with extensive expertise in developing and deploying machine learning algorithms, leveraging a strong command of MLOps and Microservices. His career features significant experience in Computer Vision, Machine Learning, Azure Cloud, and state-of-the-art Deep Learning Architectures. A lifelong learner, David is always at the forefront of technology. He believes in the power of knowledge to drive innovation and deliver impactful solutions, guiding his professional endeavors.
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Our hands-on approach and deep understanding of the current technological landscape uniquely position us to guide you through this revolution.
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