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#ai #llm #aiagents #agentic What Language Model To Choose For Your Project? 🤔 LLM Evaluation: https://youtu.be/PXX2OO7s8wY : evaluation of Hugging Face models Please subscribe to support this channel Explanation of the papers and algorithms of LLM agents in the Agentic AI systems (see timestamps below) using the following concepts and papers: Iterative feedback and refinement for LLM agents + evaluation: Madaan et al. 2023. SELF-REFINE: Iterative Refinement with Self-Feedback. The Reflexion algorithm explained in the paper: Shinn et al. 2023. Reflexion: Language Agents with Verbal Reinforcement Learning Automatic API calls system based on LlaMA + evaluation from the paper: Gorilla: Large Language Model Connected with Massive APIs HuggingGPT agentic system using Hugging Face, from the paper: Shen et al. 2023. HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face Chain of Thought + evaluation on GSM8K tests from the paper: Wei et al. 2022. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Agentic LLM + human customizable system for making applications and from the paper: Wu et al. 2023. AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation ChatDev agentic system for software development + its evaluation from the paper: Qian et al. 2023. Communicative Agents for Software Development Video key concepts: 00:00 Intro Agentic AI 00:40 Zero-shot use of LLMs 01:06 self-refine, iterative feedback and agentic refinement algorithm 02:16 Self-refine evaluation with ChatGPT and GPT4 02:29 Reflection method 02:33 Reflexion with verbal reinforcement learning and its evaluation 03:18 Explanation of the Reflexion algorithm and system design 04:26 Gorilla agentic system using tools and generating API calls 04:46 Gorilla evaluation with GPT-4 and Claude + evaluation on document retriever 05:09 Planning in agentic systems + Andrew NG takeaway message 05:23 Chain of Thought prompting for LLM step-by-step reasoning problems 05:36 Evaluation of chain of thought vs standard prompting of PaLM, Codex, GPT, LaMDA, UL2 05:Evaluation of chain of thought prompting on GSM8K tests + examples of chain of thought 06:03 HuggingGPT as LLM controller agentic system 06:23 HuggingGPT example of multi-modal tasks 06:34 HuggingGPT task planning, model selection, task execution, response generation 07:12 Multiagent collaboration: CrewAI and AutoGen 07:29 AutoGen agentic system for applications with customizable and conversable agents 08:05 AutoGen applications and use cases (math, ALF, multi-agent coding, group chat) 08:27 ChatDev agentic system for software development Related concepts and key terms: #ai #agentic #agentic ai #llm #chatdev #autogen #crewai #hugginggpt #huggingface #self-refine #gpt4 #reflexion #gorilla #api #planning #gsm8k #multimodal #multiagent #ALF --Don’t forget to subscribe and watch these related videos: Transformer Language Models Simplified in JUST 3 MINUTES! https://youtu.be/6n-mOFlhbGI This Is How Exactly Language Models Work in AI – NO background needed! https://youtu.be/n_5spvz-2KI The Concept of Backpropagation Simplified in JUST 2 MINUTES! --Neural Networks https://youtu.be/gyW5gQnsm3w https://www.youtube.com/@analyticsCamp/videos?sub_confirmation=1