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Explore a comprehensive 15-minute video examining the key limitations and challenges facing Large Language Models (LLMs) through seven critical areas: auto-regressive nature, reasoning capabilities, security vulnerabilities like jailbreaking and prompt injection, benchmark inadequacies, memory persistence issues, scaling constraints, and computational demands. Download accompanying mindmaps and follow detailed timestamps to navigate through each topic, supported by academic papers and expert references that help demystify the current state of LLM technology and identify areas requiring improvement.
