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This week we continue our discussion on the state of AI as of the end of 2023. As in the previous sesssion our discussion is aided by reviewing the State of AI report. In this session we discuss the report's review of ChatGPT's dominance, training techniques such as RLHF, the rise of smaller models such as LLaMa, whether the emergent capabilities of LLMs are real, how and why context length matters, and can newer small models rival the large models. Links Our Meetup: https://www.meetup.com/East-Bay-Tri-V... Video Topic - State of AI Report - https://www.stateof.ai/2023-report-la... Content 00:00 Introduction 01:10 LLaMa's impact 24:43 LLaMa-2 32:57 Model popularity 41:24 Is emergence a mirage? 43:33 RLHF and tuning 52:25 Context length 01:05:55 Memory demands 01:13:10 Small as good as big? ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 😊About Us West Coast Machine Learning is a channel dedicated to exploring the exciting world of machine learning! Our group of techies is passionate about deep learning, neural networks, computer vision, tiny ML, and other cool geeky machine learning topics. We love to dive deep into the technical details and stay current with the latest research developments. Our Meetup group and YouTube channel are the perfect places to connect with other like-minded individuals who share your love of machine learning. We offer a mix of research paper discussions, coding reviews, and other data science topics. So, if you're looking to stay up to date with the latest developments in machine learning, connect with other techies, and learn something new, be sure to subscribe to our channel and join our Meetup community today! Meetup: https://www.meetup.com/east-bay-tri-v... ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #machinelearning #ai #stateofai #artificalintellegence #aitrends #rlhf