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Explore real-time vectorization for transactional workloads using MongoDB Atlas and Anyscale, liberating data and enabling innovation with advanced models at scale.
Aprende a crear asistentes de IA integrados en aplicaciones, abordando prácticas recomendadas, conexión a datos privados, orquestación, autenticación y patrones de experiencia de usuario.
Optimize semiconductor manufacturing schedules with deep reinforcement learning. Leverage flexible methods to respond to changing priorities and improve key performance indicators in complex fab environments.
Explore building and scaling LLM applications with LlamaIndex and Ray through a code tutorial on creating a powerful query engine.
Explore Ray Aviary, a new open-source project for efficient self-hosted serving of multiple LLM models. Simplify deployment and enhance performance with this innovative tool.
Discover practical techniques for model quantization in vLLM deployments, exploring FP8, INT8, and INT4 methods to enhance performance and reduce memory usage while maintaining efficiency.
Discover how Apple leverages Ray and vLLM for AI-powered data classification, addressing privacy, documentation quality, and business context challenges while automating data governance processes.
Explore UC Berkeley's Chatbot Arena platform and its innovative approach to evaluating AI models through human preferences, pairwise comparisons, and crowdsourced data from 1.7M+ user votes.
Discover how to build an agentic framework for GenAI applications, focusing on RAG-centric approaches, multilingual queries, and real-time data processing for enhanced customer assistance.
Discover how to build a unified AI infrastructure by integrating Apache Airflow and Ray for seamless orchestration of data processing, model training, and inference workflows, including LLM fine-tuning and LoRA deployments.
Discover how CloudKitchens leverages Ray and Kubernetes to build a state-of-the-art ML platform, featuring seamless integration of Metaflow, Daft, and Argo Workflows for enhanced development efficiency.
Discover how Reverb transformed their data engineering team into MLOps, exploring scalable ML platform development, developer experience optimization, and effective monitoring strategies using Ray and Anyscale.
Discover how Phaidra leverages Ray to build a multi-tenant data processing platform for industrial AI, focusing on reinforcement learning, efficient resource utilization, and secure customer onboarding.
Discover how Lockheed Martin uses deep reinforcement learning to revolutionize wildfire management through an AI-powered decision support system that achieves 80% containment success in simulated scenarios.
Master effective strategies for pricing AI products with insights on value-based models, market adaptation, and competitive positioning in the rapidly evolving artificial intelligence landscape.
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