Building Multi-Modal Search and RAG with Vector Databases
Explore open-source multimodal embeddings for cross-modal search and MM-RAG. Learn techniques for integrating diverse data types, enhancing decision-making with real-time processing and LLMs.
Enabling End-to-End LLMOps on Michelangelo with Ray
Explore Uber's extension of Michelangelo for end-to-end LLMOps, leveraging Ray for scalable development with hundreds of A100 GPUs and integrating open-source techniques for efficient custom LLM creation.
Building GenAI-Powered Solutions Using Mosaic ML, DBRX LLM and LLMOps
Explore LLMs and Generative AI's potential to revolutionize industries. Learn about Databricks Mosaic ML Training Platform, DBRX models, and LLMOps for streamlined AI adoption and innovation in healthcare and insurance.
Exploring MLOps and LLMOps - Architectures and Best Practices
Dive into MLOps and LLMOps architectures, components, and best practices. Learn strategies for efficient implementation and improved model performance in this comprehensive technical session.
Extending AI: From Industry to Innovation
Explore industry insights on MLOps and AI implementation, covering challenges in model management, revenue optimization, and governance. Learn about integrating vision models, predictive maintenance, and generative AI in various sectors.
Design and Development Principles for LLMOps - MLOps Podcast #254
Explore design and development principles for LLMOps with Andy McMahon. Learn about software engineering practices, new techniques, and the transition from MLOps to LLMOps in this insightful discussion.
LLMOps with MLflow - Document Classification Using Fine-Tuned LLM Models
Master end-to-end document classification using MLflow for LLM fine-tuning, inference, and deployment with Docker. Build robust APIs and implement CI pipelines for efficient machine learning operations.
Converting Alibaba Cloud Qwen2-VL Model to OpenVino IR Format - Spanish Tutorial
Aprende a convertir e implementar el modelo Qwen2-VL de Alibaba Cloud a formato OpenVino IR para optimizar inferencias en CPU, con ejemplos prácticos y código detallado.
Converting Qwen2-VL 2B Model to OpenVino IR Format for CPU Inference
Learn how to convert and optimize Qwen2-VL 2B model for CPU inference using OpenVino IR format, with practical implementation steps and performance insights.
LLMOps MLflow - Document Classification with Fine-Tuning and Inference
Domina el fine-tuning de modelos LLM usando MLflow, desde la creación de clasificadores de documentos hasta la implementación con Docker y Azure DevOps para inferencia eficiente.
Architecting the Future of AI: From Cloud-Native Orchestration to Advanced LLMOps
Dive into cloud-native AI architecture, exploring Kubernetes orchestration, Ray distributed computing, and vLLM for efficient large language model deployment and management.
Evaluating LLM Responses with MLflow
Master MLflow's evaluation features to assess and analyze Large Language Model responses, enhancing your ability to measure and improve AI model performance.