Beyond the Hype: A Realistic Look at Large Language Models • Jodie Burchell • GOTO 2024

Video Description

This presentation was recorded at GOTO Amsterdam 2024. #GOTOcon #GOTOams https://gotoams.nl Jodie Burchell - Data Scientist and Developer at JetBrains @jodieburchell RESOURCES https://twitter.com/t_redactyl https://www.linkedin.com/in/jodieburchell https://github.com/t-redactyl https://t-redactyl.io ABSTRACT If you've been remotely tuned in to the latest developments in large language models (LLMs), you've likely been inundated with news, ranging from claims that these models will replace numerous white-collar jobs to declarations of sentience and an impending AI apocalypse. At this stage, the hype surrounding these models has far surpassed the actual useful information available. In this talk, we’ll cut through the noise and delve deep into the current applications, risks, and limitations of LLMs. We’ll start with early research endeavours aimed at creating an "artificial brain" and trace the path that has led us to today's sophisticated text models. Along the way, we'll address how these models have been mistaken for intelligent systems. We’ll shed light on the actual requirements for developing true artificial general intelligence, and see how far LLMs are from this goal. We’ll end with a practical demonstration of how you can use LLMs in a way that plays to their strengths, by showing you how to build a system which leans into these models’ powerful natural language capabilities. [...] TIMECODES 00:00 Intro 03:01 Where are we and how did we get here? 13:35 Are LLMs "intelligent"? 27:29 Using LLMs 42:29 Outro Download slides and read the full abstract here: https://gotoams.nl/2024/sessions/3115 RECOMMENDED BOOKS Alex Castrounis • AI for People and Business • https://amzn.to/3NYKKTo Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ Holden Karau, Trevor Grant, Boris Lublinsky, Richard Liu & Ilan Filonenko • Kubeflow for Machine Learning • https://amzn.to/3JVngcx Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/2ZD7t0x Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision • https://amzn.to/3m9HNjP https://twitter.com/GOTOcon https://www.linkedin.com/company/goto- https://www.instagram.com/goto_con https://www.facebook.com/GOTOConferences #LLM #LargeLanguageModel #LimitationsOfLLMs #GenAI #AI #GenerativeAI #CUDA #CommonCrawl #LSTMs #Kaggle #JodieBurchell CHANNEL MEMBERSHIP BONUS Join this channel to get early access to videos & other perks: https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/join Looking for a unique learning experience? Attend the next GOTO conference near you! Get your ticket at https://gotopia.tech Sign up for updates and specials at https://gotopia.tech/newsletter SUBSCRIBE TO OUR CHANNEL - new videos posted almost daily. https://www.youtube.com/user/GotoConferences/?sub_confirmation=1