AutoGen Tutorial | Conversation Patterns Explained | Sequential Chat Agent Workflow

🤖 Building AI-powered multi-agent systems. In this video, we explore different conversation patterns / agentic workflows in AutoGen! We'll discuss about “Sequential chat pattern” in-depth and implement the agentic workflow. Are you ready to dive deep into the fascinating world of artificial intelligence? Join us in this comprehensive tutorial where we will learn different conversation patters in AutoGen and implement Sequential chat workflow. In this video, you’ll not only learn all conversation patterns, but you will also master the essentials of multi-agent systems and their applications. This tutorial is designed for both beginners and intermediates in the realm of deep learning, providing you with a practical, handson approach to building intelligent systems powered by AI. Why Learn about Multi-Agent Systems? As we embrace the future of technology, understanding AI-driven multi-agent systems is paramount. With their ability to simulate real-time interactions and collaborative problem-solving, these systems are at the forefront of advancements in machine learning and AI. Mastering these principles will not only bolster your resume but will also prepare you for innovative roles in datascience and software engineering. Previous lesson : https://youtu.be/-5CwG4yHiGI 📌 What You’ll Learn in This Video: • AutoGen conversation Patterns - Overview of two-way chat and group chat. • In-depth understanding of Sequential chat pattern. • Carry-over and trigger condition to setup workflow. • Step-by-step implementation of Sequential Chat workflow for a practical use-case. This practical project showcases how various components collaborate to solve intricate challenges, exemplifying the potential of AI in real-world scenarios. Resources: 🔗 Code Repository: Access the full code for this project here: https://github.com/mohangollapalli/agentic_ai/blob/fa2cf5557b373253712f8b21a49f5148dda6723f/sequential_chat/sequential.py 🎯 Who Is This Tutorial For? This tutorial is perfectly crafted for tech enthusiasts, students, and professionals in data science. If you’re preparing for a career in AI, machine learning, or software development, mastering multi-agent systems will provide you with a competitive edge and a solid foundation to build upon. Additional Playlists: Don’t forget to check out our other valuable playlists to enhance your AI learning experience: [Agentic AI Playlist] : https://www.youtube.com/playlist?list=PLz6pthWWCdfSzzfwTa_E6Jt76Kq6aVNZQ Deep Learning with PyTorch Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfRMjkzgzOVJZqVhvLk1gj9Q CNN : https://www.youtube.com/playlist?list=PLz6pthWWCdfT7yPUp2mi-UTmTJlBV1nzf ML Models from Scratch Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfR5mFMpF39dBuUueQFLZ910 KNN Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfTMLTvWu66dByhn3s_yxf4f K-Means Playlist : https://www.youtube.com/playlist?list=PLz6pthWWCdfSsegiIPgqkDNviUpg1ue-6 Python for DS : https://www.youtube.com/playlist?list=PLz6pthWWCdfSBz4hOth7sFNmEm0mUh-yN Time Stamps for Easy Navigation: 00:00 - Overview of Conversation Patterns. 00:23 - Two-way chat and Group chat. 01:54 - Sequential Chat Pattern. 02:41 - Use-case : Banking Customer rep system. 05:06 - Implementing Sequential chat. 06:12 - User Agent Explanation 06:48 - Assistant Agents: Specialist and Surveyor. 09:13 - Initiate chats 12:55 - Results and Conclusion Engage with Us! Enjoyed the video? Give it a thumbs up, leave a comment, and hit subscribe to stay updated with the latest tutorials. Your support helps us create more content tailored for aspiring AI engineers and data scientists. Don't miss out—click that notification bell, and embark on your journey to master AI and multiagent systems today! Whether you aim to ace that data science interview or want to embark on your own AI projects, this video will equip you with the knowledge and skills to succeed in the rapidly evolving tech landscape. @SimplifiedAICourse #Multi-Agent Systems, #AIProjects, #AutoGenTutorial, BuildAIAgents, #DeepLearning #MachineLearning #AI #AIAgents #ArtificialIntelligence #MachineLearning #AutoGen #AIExplained #DeepLearning #AIProjects #AgenticAI #datascienceprojects #deeplearningprojects #MultiAgentSystems #AIautomation #ConversibleAgent #AssistantAgent #AutoGenTutorial #UserProxyAgent #GroupChatManager #BuildAIAgents #AIAutomation​ #AutoGenSequentialChat #AutoGenGroupChat #AutoGenTwoWayChat #AutoGenConversationPatterns