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Discover how to build and deploy Agentic AI applications through hands-on training in intelligent assistants, HR automation, and business process automation for enterprise innovation.
Master local LLM and embedding optimization using open-source tools. Build, fine-tune, and test language models while discovering innovative retrieval techniques for precise, actionable insights.
Discover how to run Huggingface language models directly in Teradata's database using CPU-only inference, achieving GPU-like performance through parallel processing for enterprise AI workflows.
Master LLMOps infrastructure for production-grade agentic RAG applications using Union.ai platform, covering deployment, iteration, and systematic improvement techniques.
Master parallel training strategies for billion-parameter LLMs through hands-on implementation of data, tensor, and pipeline parallelism techniques.
Discover how to transform data pipelines into actionable decisions using Chalk's evaluation framework for production ML systems.
Discover how to implement Model Context Protocol in enterprise environments for enhanced machine learning operations and production deployment strategies.
Discover why agentic AI systems demand innovative orchestration strategies beyond traditional ML workflows and learn new approaches for managing autonomous AI agents.
Discover how to rethink modern data architecture strategies and overcome common challenges in data management and infrastructure design.
Discover how NVIDIA's Dynamo Platform enables scalable deployment and serving of generative AI models for production environments.
Discover how to deploy RAG systems into production environments quickly and efficiently with practical implementation strategies and best practices.
Discover how to implement comprehensive observability strategies for AI systems, covering model monitoring and data pipeline management at scale.
Discover how video intelligence is evolving toward agentic AI systems with practical insights from industry expert James Le in this 30-minute MLOps presentation.
Explore data agentic tooling's evolving value in MLOps workflows and production environments through practical insights and current industry developments.
Discover how to build KG-ETL pipelines that transform unstructured data into knowledge graphs using LLMs, comparing three architectures and their trade-offs for modern AI systems.
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