Скачать с ютуб Evolving from MLOps to LLMOps Harnessing MLflow for LLM Success! в хорошем качестве

Evolving from MLOps to LLMOps Harnessing MLflow for LLM Success!

Databricks - The Data and AI company Founded in 2013 by the original creators of Apache Spark, MLFLow and Delta Lake Databricks is a global data, analytics and artificial intelligence company. The local team will provide an overview of the platform, explain how the concept of Lakehouse has been disrupting the industry since 2020 and share the company's vision of the future. The team will also explain how genAI is used internally at Databricks and share some lessons learned during the training of their LLM DBRX. From MLOps to LLMOps - Understanding the Evolution: Dive deep into the transition from traditional MLOps to LLMOps, and learn how large language models (LLMs) are reshaping the AI landscape. Building and Deploying RAG Applications: Get hands-on insights into using state-of-the-art technologies to build and deploy Retrieval-Augmented Generation (RAG) applications. Discover how to leverage the power of LLMs to create smarter and more efficient applications. Model Evaluation and Action with MLflow: Learn how to effectively evaluate your models and actions using MLflow. This session will cover best practices for tracking, managing, and optimizing models in an LLMOps framework. Topics: #Artificial Intelligence #ExplainableAI #DevOps #MLOps Bio: Ilyas Chaoua is Lead Machine Learning Engineer at Vedrai. With a wealth of experience in machine learning and a deep passion for AI, Ilyas is also an MLFlow Ambassador and will guide you through the intricacies of MLOps and LLMOps. Gabriele is a Sr. Solution Engineer at Databricks. He supports South European startups and scaleups bringing their data and AI use cases to production. He describes himself as a constant learner, passionate about data analytics, Machine Learning, and data visualization. --- Event details This event is hosted at Vedrai office, Spaces Piazza Vetra 17, Milano (Aula: MR3, piano -1 Building A). The event will be held in English. At the end of the talks will follow a networking aperitif with food and drinks. Attending in presence: There will be 50 seats reserved to the community. If the tickets are sold out you can register on the waitlist, we will apply a first-in first-out policy to assign seats in case of cancellations. Attending remotely: The event will be streamed live on our Youtube channel (   / datasciencemilan  . Agenda: 18:45 Welcome and Opening 19.00 Tech talk starts - Q&A 20.15 Networking aperitivo --- Would you be happy to host one of our events? Increase your popularity and be known by our community by hosting one of our interesting events. Contact us at [email protected]. If you are interested in doing a lightning talk or want to propose an event, hackathon, panel discussion, roundtable, or any sort of initiative please submit your proposal by getting in touch with a member of the staff. More info at   / data-science-milan