LLMs have been shown to have abilities which they were not trained for. For example, LLMs can translate between languages without being directly trained to do so. These abilities have been shown to rapidly appear once the LLMs gets to a certain "critical size". These special abilities are called the Emergent Abilities of LLMs - appearing to emerge at a particular scale. In this video, we will learn what Emergent Abilities are, how they were discovered, why they are important, and some potential explanations for why they appear. ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: https://www.assemblyai.com/?utm_source=youtube&utm_medium=referral&utm_campaign=yt_ry_3 🐦 Twitter: https://twitter.com/AssemblyAI 🦾 Discord: https://discord.gg/Cd8MyVJAXd ▶️ Subscribe: null 🔥 We're hiring! Check our open roles: https://www.assemblyai.com/careers ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ What are emergent abilities of LLMs? - Emergent abilities are abilities that LLMs can complete without being explicitly trained to do so. These abilities appear rapidly once LLMs are scaled to a large enough size. Why are emergent abilities important? - LLMs have been rapidly adopted in the last year because of their incredible versatility. While they are not perfect, they demonstrate competency on a wide range of tasks which makes them useful for many types of applications. What accounts for emergent abilities? - There is not a single explanation for emergent abilities, so additional studies are needed to form a more conclusive answer to this question. There are some potential explanations for emergence, like multi-step reasoning and misaligned evaluation metrics. 0:00 Discontinuous learning 0:46 Background 1:06 Scaling language models 1:47 Discovering emergence 2:25 Emergence as a general concept 4:00 Emergence in LLMs 5:47 Emergent abilities: fact or illusion? 7:52 What does this all mean? 9:08 Final words 9:35 Outro #MachineLearning #DeepLearning