Deep dives into agentic AI, LLM evaluation, synthetic data generation, model selection, and production AI engineering best practices.
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Learn how quality filtering and fuzzy deduplication create a tradeoff in LLM data curation, and how NeMo Curator uses GPU acceleration to handle both at scale.
Azure AI Foundry Agent Service provides a managed framework for building, managing, and deploying AI agents on Azure. Compare it to Semantic Kernel, AutoGen, and Copilot Studio.
A comprehensive overview of AI agents — what they are, how they work, and the major platforms including GPT Agents, Gemini, Claude, Copilot, AutoGen, and AutoGPT.
NVIDIA's prompt-task-and-complexity-classifier categorizes prompts across 11 task types and 6 complexity dimensions using DeBERTa. Learn how it works and when to use it.
RAG strengthens LLM responses by grounding them in external knowledge sources. Learn how retrieval-augmented generation reduces hallucinations and enables real-time knowledge access.
