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    Unleashing the Potential of Large Language Models Through Task and Data Engineering

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    Unleashing the Potential of Large Language Models Through Task and Data Engineering

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    Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the transformative impact of Large Language Models (LLMs) in this one-hour seminar presented by Dr. Shafiq Joty at the Center for Language & Speech Processing (CLSP), JHU. Delve into the world of open-sourced XGen LLMs, examining their pre-training process and performance on standard benchmarks. Discover innovative approaches to reasoning with LLMs, democratizing them for low-resource languages, and distilling knowledge from larger proprietary models to smaller ones in a personalized manner. Gain insights into the limitations of LLMs and the need for new innovations beyond scaling to address current challenges. Learn from Dr. Joty's extensive experience as a Research Director at Salesforce Research and tenured Associate Professor at NTU, Singapore, as he shares his expertise in NLP, large language modeling, and generative AI.

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