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This lecture by Nanyun (Violet) Peng from UCLA explores controllable and creative natural language generation in the context of large language models. Dive into the pressing challenges of controlling generation outcomes as LLMs become increasingly capable. Learn about cutting-edge approaches for directing AI text generation while maintaining creativity and coherence. The talk, part of the "Future of Language Models and Transformers" series at the Simons Institute, examines how to balance control mechanisms with the creative potential of modern language models. Suitable for researchers, AI practitioners, and those interested in the evolving capabilities of natural language processing technologies.
