AI Blindspot

• Agentic Design Pattern IV - Multi-Agent Collaboration

  In today's episode, we are discussing two research papers describing the two distinct approaches to building multi-agent collaboration : MetaGPT is a meta-programming framework using SOPs and defined roles for software development. https://arxiv.org/pdf/2308.00352 AutoGen uses customizable, conversable agents interacting via natural language or code to build applications. https://arxiv.org/pdf/2308.08155

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  18:54
• Agentic Design Pattern III - Tool Use

  This episode discusses agentic design pattern Tool Use. Tool use is essential for enhancing the capabilities of LLMs and allowing them to interact effectively with the real world. We discuss following papers. Gorilla: Large Language Model Connected with Massive APIs https://arxiv.org/pdf/2305.15334 MM-REACT : Prompting ChatGPT for Multimodal Reasoning and Action https://arxiv.org/pdf/2303.11381

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  12:32
• Agentic Design Pattern II - Reflection

  This episode discussed AI agentic design pattern "Reflection"📝 𝗦𝗘𝗟𝗙-𝗥𝗘𝗙𝗜𝗡𝗘 SELF-REFINE is an approach where the LLM generates an initial output, then iteratively reviews and refines it, providing feedback on its own work until the output reaches a desired quality. This self-loop allows the LLM to act as both the creator and critic, enhancing its output step by step.🔍 𝗖𝗥𝗜𝗧𝗜𝗖 CRITIC leverages external tools—like search engines and code interpreters—to fact-check and refine LLM-generated outputs...

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  15:14
• Agentic design pattern I - Planning

  In this episode, we discuss following agent architectures:ReAct (Reason + Act): A method that alternates reasoning and actions, creating a powerful feedback loop for decision-making.Plan and Execute: Breaks down tasks into smaller steps before executing them sequentially, improving reasoning accuracy and efficiency. However, it may face higher latency due to the lack of parallel processing.ReWOO: Separates reasoning from observations, improving efficiency, reducing token consumption, and maki...

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  13:33
• AI Agents

  🤖 AI Agents Uncovered! 🤖In our latest episode, we're diving deep into the fascinating world of AI agents, focusing specifically on agents powered by Large Language Models (LLMs). These agents are shaping how AI systems can perceive, decide, and act – bringing us closer to the vision of highly adaptable, intelligent assistants.Key HighlightsAI agents started in philosophy before migrating to computer science and AI. From simple task-specific tools to adaptable LLM-powered agents, their evoluti...

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  14:38

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