LLM Agents - Explained!

Let's talk about LLM Agents and how this is different from plain LLMs or RAG. RESOURCES [1 šŸ“š] A Survey on Large Language Model based Autonomous Agents: https://arxiv.org/pdf/2308.11432 [2 šŸ“š] ReAct Agent: https://arxiv.org/pdf/2210.03629 [3 šŸ“š] SayCan Agent: https://arxiv.org/pdf/2204.01691 [4 šŸ“š] WebGPT (agent): https://arxiv.org/pdf/2112.09332 [5 šŸ“š] MT-Opt: How Robots in SayCan can efficiently learn multiple tasks: https://arxiv.org/pdf/2104.08212 [6 šŸ“š] QT-Opt: https://arxiv.org/pdf/1806.10293 ABOUT ME ā­• Subscribe: https://www.youtube.com/c/CodeEmporiu... šŸ“š Medium Blog: Ā Ā /Ā dataemporiumĀ Ā  šŸ’» Github: https://github.com/ajhalthor šŸ‘” LinkedIn: Ā Ā /Ā ajay-halthor-477974bbĀ Ā  PLAYLISTS FROM MY CHANNEL ā­• Deep Learning 101:    • DeepĀ LearningĀ 101Ā Ā  ā­• Natural Language Processing 101:    • NaturalĀ LanguageĀ ProcessingĀ 101Ā Ā  ā­• Reinforcement Learning 101:    • ReinforcementĀ LearningĀ 101Ā Ā  Natural Language Processing 101:    • NaturalĀ LanguageĀ ProcessingĀ 101Ā Ā  ā­• Transformers from Scratch:    • NaturalĀ LanguageĀ ProcessingĀ 101Ā Ā  ā­• ChatGPT Playlist:    • ChatGPTĀ Ā  MATH COURSES (7 day free trial) šŸ“• Mathematics for Machine Learning: https://imp.i384100.net/MathML šŸ“• Calculus: https://imp.i384100.net/Calculus šŸ“• Statistics for Data Science: https://imp.i384100.net/AdvancedStati... šŸ“• Bayesian Statistics: https://imp.i384100.net/BayesianStati... šŸ“• Linear Algebra: https://imp.i384100.net/LinearAlgebra šŸ“• Probability: https://imp.i384100.net/Probability OTHER RELATED COURSES (7 day free trial) šŸ“• ⭐ Deep Learning Specialization: https://imp.i384100.net/Deep-Learning šŸ“• Python for Everybody: https://imp.i384100.net/python šŸ“• MLOps Course: https://imp.i384100.net/MLOps šŸ“• Natural Language Processing (NLP): https://imp.i384100.net/NLP šŸ“• Machine Learning in Production: https://imp.i384100.net/MLProduction šŸ“• Data Science Specialization: https://imp.i384100.net/DataScience šŸ“• Tensorflow: https://imp.i384100.net/Tensorflow CHAPTERS 0:00 Introduction 0:47 Pass 1: What are LLM Agents? 4:21 Quiz Time 1 5:28 Pass 2: LLM vs RAG vs LLM Agent 12:19 Quiz Time 2 13:24 Summary