What are Agentic Workflows ?

Описание к видео What are Agentic Workflows ?

📹 VIDEO TITLE 📹
What are Agentic Workflows ?

✍️VIDEO DESCRIPTION ✍️
In this video, we’ll explore Andrew Ng’s groundbreaking Agentic Workflow patterns, which provide large language models (LLMs) with the ability to operate more like autonomous agents. Instead of generating static responses, these workflows empower LLMs to execute tasks in ways that mirror human problem-solving. We'll break down the four core patterns—Reflection, Tool Use, Planning, and Multi-Agent Collaboration—and explain how each one enhances LLM performance by introducing iterative, self-corrective, and goal-driven behaviors. This approach goes beyond traditional AI outputs, enabling more refined, complex, and adaptive responses across a range of tasks.

One of the key insights Andrew Ng brings to agentic workflows is how they mimic human strategies for tackling complicated, multi-step tasks. For example, just as humans use reflection to assess and improve their work, LLMs using the Reflection pattern can review their outputs, identify weaknesses, and refine results over multiple iterations. With Tool Use, LLMs access external resources or specialized tools, much like how people rely on calculators, search engines, or databases to make more informed decisions. This ability to interact with external sources allows AI agents to expand beyond static responses and adapt to real-time needs.

Finally, we’ll discuss how the Planning and Multi-Agent Collaboration patterns bring an element of strategic organization and teamwork to AI, helping LLMs tackle complex goals by breaking them down into manageable steps or collaborating with other agents. This workflow is akin to how teams of people divide tasks, leverage different expertise, and provide feedback to improve results. Join us for an insightful overview of these transformative patterns and learn how agentic workflows are pushing the boundaries of what LLMs can achieve.

🧑‍💻BLOG POSTS URL 🧑‍💻
Part 1 - https://www.deeplearning.ai/the-batch...
Part 2: Refection https://www.deeplearning.ai/the-batch...
Part 3: Tool Use - https://www.deeplearning.ai/the-batch...
Part 4: Planning - https://www.deeplearning.ai/the-batch...
Part 5: Multi-Agent - https://www.deeplearning.ai/the-batch...

🧑‍💻GITHUB URL 🧑‍💻
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🔠KEYWORDS 🔠
#LargeLanguageModel
#LLM
#AIWorkflows
#AgenticWorkflows
#LLMDrivenSystems

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