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Discover how Intuit leverages LLMs to explain complex tax situations to TurboTax users, covering GenAI development lifecycle, evaluations, fine-tuning, and RAG implementations at scale.
Discover how AI agents can transform business operations by blending AI assistance with traditional coding, featuring real guardrails, security, and multimodal approaches for maximum efficiency.
Discover how AI agents can autonomously buy, sell, and negotiate in commerce beyond simple browser automation, creating truly intelligent trading systems.
Explore the evolution from basic AI assistants to fully autonomous agents that plan, act, and adapt in high-trust professional environments like legal and finance.
Discover insights from millions of AI code reviews, exploring bug patterns, vulnerabilities, and code health trends while learning what AI agents excel at detecting.
Explore AI trust frameworks, explainability techniques, and guardrails for enterprise deployment through real-world case studies in manufacturing, telecom, and industrial IoT environments.
Discover how to gain millisecond-level visibility into GPU workloads through continuous profiling, moving from guesswork to data-driven optimization for better performance.
Explore GraphRAG implementation patterns and real-world examples to enhance LLM reasoning with knowledge graphs, addressing hallucinations and delivering trustworthy GenAI solutions.
Discover how knowledge graphs enhance legal AI agents through structured representations, reducing hallucinations and improving contractual clause retrieval systems.
Discover how graph-based RAG architecture achieves 86.31% accuracy on enterprise knowledge bases, outperforming traditional vector approaches with sub-second response times.
Discover Netflix's foundation model strategy for personalized recommendations and recent developments in generative AI for content optimization.
Explore how YouTube rebuilt its recommendation system using Gemini LLM, covering SemanticID creation, model adaptation, and generative video retrieval for billions of users.
Discover how Instacart leverages LLMs to revolutionize grocery search, enhance user intent understanding, and improve product discovery through innovative AI solutions.
Discover how LinkedIn AI built a 150-billion-parameter foundation model for personalized ranking and recommendation systems, featuring insights from principal scientists on scaling LLMs.
Explore how LLMs revolutionize recommendation systems through semantic IDs, synthetic data augmentation, and unified models with real-world case studies from Amazon, Netflix, Spotify, and Etsy.
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