The COMPLETE TRUTH About AI Agents (2024)

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00:00 - Intro to AI agents
01:21 - Generic agent workflows explained
03:06 - Generic workflows for complex tasks
04:08 - Generic workflows improve GPT-3.5 & GPT-4
05:10 - Mixture of agents paper examples
08:13 - Open-source LLMs beat GPT-4 with mixture of agents
09:16 - Few real-world agent use cases currently
09:46 - No-code agent workflow demo in Cassidy AI
13:54 - Multi-On web browsing agent overview
16:27 - Rabbit AI device agent & early issues
19:22 - Google customer service agent demo
21:14 - Devin AI coding agent from Cognition Labs
22:20 - OpenAI agent to control user's computer
23:32 - Meta's engineering & monetization agents
24:59 - IMVU's reasoning-based coding agents
26:26 - Challenges making reliable real-world agents
29:38 - Hard for agents to do multi-step tasks with few errors
32:45 - Google: 1-2 years to multi-modal AI assistants
34:26 - Bill Gates on very knowledgeable AI agents
36:18 - Nvidia CEO on future AI agent teams in business
39:07 - Risks of fully autonomous AI agents
41:01 - Key agent parts: tools, memory, planning, actions
42:27 - Better language models vs prompts to improve agents
43:48 - User interface design key for agent workflows
44:13 - New agent workflows for coding tasks

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