Binoy Thomas
Binoy Thomas is an expert in DevOps and SaaS deployment architectures, with a specialized focus on Vector Database (VectorDB) . Being part of Data and AI department, having extensive experience in validating RAG(Retrieval augmented generation ) with multiple embedding models and VectorDB indexing. With a track record of contributing to innovation and patenting, filed multiple USPTO applications(waiting on publication). Published US Patent are https://patents.justia.com/patent/20240259351 and https://patents.justia.com/patent/20240203046.
Article on MilvusDB usage: https://www.linkedin.com/pulse/connecting-ibm-watsonxdata-milvus-attu-binoy-thomas-3jyyc/?trackingId=7dhiltyiQrCmgWXZ%2BQnSCw%3D%3D
Session
As enterprises rapidly adopt generative AI (GenAI) technologies, DevOps teams face a new set of challenges and responsibilities. Large Language Model Operations (LLMOps), a subfield of MLOps, has emerged to manage the complexities of deploying and maintaining large language models (LLMs).
LLMOps requires a collaborative effort across data science, DevOps, and IT teams, emphasizing the importance of integrating these functions to ensure the seamless operation of LLMs in enterprise settings. Attendees will gain insights into best practices for managing the unique demands of LLMs, including strategies for maintaining model accuracy, scalability, and compliance with ethical standards.