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Discover practical insights from AI leaders at major companies who've successfully deployed LLMs in production, covering team skills, RAG implementation, evaluation strategies, and agent success factors.
Explore how to overcome GenAI production roadblocks by understanding project stakes—from accuracy and cost to privacy, compliance, and safety considerations.
Discover quantitative and qualitative frameworks to assess AI's true ROI in software development beyond the hype, with insights on metrics, value propositions, and future trends.
Discover real-world challenges and solutions for deploying GenAI applications at enterprise scale, from LLM accuracy issues to infrastructure requirements.
Master GraphRAG techniques to overcome GenAI hallucination challenges by integrating vector search with knowledge graphs for enhanced context and real-world applications.
Explore how AI's second-order effects reshape music creation, user interfaces, and agent-focused development beyond immediate technological impacts.
Discover how to build an AI research agent using MongoDB, open-source LLMs, and LangChain to search papers, summarize findings, and answer research questions in this hands-on workshop.
Explore how multimodal AI combines sounds, images, and videos to create innovative learning activities that foster critical thinking and creativity in education.
Discover practical insights from top ML teams on deploying GenAI models, covering LLM evaluation, dataset management, and optimization strategies for real-world production applications.
Master building reliable LLM-powered autonomous agents with LangGraph, covering tool calling, memory, planning, and comprehensive testing strategies using LangSmith.
Discover how Groq aims to break AI's 1-GHz barrier and unlock next-generation software capabilities through ultra-fast inference speeds and revolutionary computing architecture.
Master building scalable AI agent swarms with sub-second voice interactions, covering speech-to-text, LLM integration, and handling millions of concurrent conversations.
Explore how AI models and AR technology converge to create intuitive multimodal experiences, from past developments to future unbounded product design possibilities.
Explore how LLMs can achieve Nobel Prize-level scientific breakthroughs by connecting distant fields, using RAG systems and AI agents to spot novel relationships in complex research.
Master TensorRT-LLM for high-performance model serving, from selecting models to building engines, setting batch sizes, and deploying on cloud GPUs in this hands-on workshop.
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