Unlock the Power of Agentic AI for Enhanced Outcomes

Discover the transformative power of using AI Agents in creating high-quality, refined outcomes! In this 'Code to Care' episode, I explore how chaining multiple Large Language Models (LLMs) can significantly enhance various projects, from marketing plans to policy documents. See how a writing agent, a critique agent, and a revision agent work together to produce more accurate and comprehensive results. Learn about the added value of incorporating long-term vision, demographic details, and interactive content strategies. While the process takes a bit more time and cost, the improved accuracy and alignment with your organization's values make it well worth it. Watch now to see the demo and understand how this approach can transform your projects! Key Takeaways and What You'll Learn: • Introduction to Compound LLM Workflows: Understand how chaining multiple LLMs can enhance various projects. • Writing Agent: See how the writing agent creates the initial draft. • Critique Agent: Learn how the critique agent provides valuable feedback to improve the draft. • Rewriting Agent: Discover how the rewriting agent produces the final, refined version. • Enhancing Outcomes: Explore the importance of incorporating long-term vision, demographic details, and interactive content strategies. • Cost and Time Considerations: Understand the trade-offs and benefits of using compound LLM workflows. • Versatility of LLM Workflows: See how these workflows can be applied to various aspects, including marketing, policy, ethics, and brand alignment. Check out my LinkedIn: / donwoodlock --- Timestamps 0:00 - 0:20 Introduction to topic of Agentic AI 0:21 - 0:47 Overview of the compound LLM case for creating a marketing plan 0:48 – 1:17 Introduction to writing and critique agent 1:18 – 1:46 Workflow of the writing and critique process 1:47 – 6:00 Live demo showing the AI Agents using Jupyter 6:01 – 6:17 Commercial plug in 6:18 –7:58 Comparison of the original and final marketing plan 7:59 – 10:31 Summary of the benefits and implications of using multiple LLMs 10:32 – 10:44 Wrap-up conclusion and next video topic sharing 10:45 – 11:09 Conclusion --- #agenticai #llm #CompoundWorkflows #codetocare #techtalk #aiproject #contentcreation #digitaltransformation #ai #ailearning