The Future of AI: Unlocking the Power of Large Language Models

This talk will help you understand and develop large language models (LLMs), which are probability distributions over sequences of tokens that can perform various natural language processing (NLP) tasks. This talk will cover the following topics: The capabilities of LLMs, such as generating fluent text, performing few-shot learning, and achieving state-of-the-art results on various NLP benchmarks. The harms associated with LLMs, such as toxicity, misinformation, privacy risk, social biases, and environmental impact. The modeling aspects of LLMs, such as the architecture, training objective, data selection, and evaluation methods of LLMs. The theory aspects of LLMs, such as the expressiveness, generalization, robustness, and interpretability of LLMs. The ethics aspects of LLMs, such as the ethical principles, frameworks, and guidelines for developing and deploying LLMs. The systems aspects of LLMs, such as the hardware, software, and infrastructure for scaling up LLMs.