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Ezhil VendhanA Comprehensive Guide to Evaluating LLM-Generated Knowledge GraphsFrom Proof of Concept to Production3d ago3d ago
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Ruchit NannavareA dive into multi-context LLM service architectureReducing Hallucinations with Context Isolation2d ago
InTowards Data SciencebyPulkit GeraLet There Be Light! Diffusion Models and the Future of RelightingDiscover how cutting-edge diffusion models tackle relighting, harmonization, and shadow removal in this in-depth blog on scene editing.Nov 44
InData Science at MicrosoftbyJane HuangEvaluating LLM systems: Metrics, challenges, and best practicesA detailed consideration of approaches to evaluation and selectionMar 519
Ezhil VendhanA Comprehensive Guide to Evaluating LLM-Generated Knowledge GraphsFrom Proof of Concept to Production3d ago
InAI AdvancesbyDebmalya BiswasPrivacy Risks of Large Language Models (LLMs)Generative AI Privacy RisksOct 73
Samar SinghRun 100B LLM Model on a Single CPU: Microsoft BitNetAs artificial intelligence (AI) continues to evolve, the demand for large-scale models has skyrocketed. However, running these models…Oct 304
ShellKode BlogsMastering QuickSight Q: Setting the Stage for Semantic InsightsAuthor: Manasa K, Head Data Practice | Co-Author: Priyanka Gopalakrishnan2d ago
InGenerative AIbyYuki ShizuyaUnlocking the Diffusion Model Power!The introduction of a novel tuning-free style transfer method: InstantStyle. How can it work without additional fine-tuning, and how can it…Sep 291
