I used to think building AI meant a simple flow — retrieve data and generate answers through RAG-based chatbots. But today’s session, “MC12: Intro to AI Agents & LangChain,” shifted that perspective. AI is no longer just about responding; it’s about building structured, action-driven systems. A key takeaway was understanding LangChain as an orchestrator that connects LLMs, prompts, chains, agents, memory, vector stores, and external tools into a complete workflow. Instead of isolated prompts, we can now build end-to-end AI systems. As part of the session, we built a Restaurant Business Generator where the input is a cuisine type and the output is a restaurant name and menu. This demonstrated a full pipeline using LangChain, OpenAI, SERP API, and Gradio. The biggest shift for me was moving from RAG to agent-based thinking — from prompting systems to systems that can decide and act. Thanks to Decoding Data Science (DDS) and mentor Mohammad Arshad for making this practical and easy to implement. #AI #LangChain #AIAgents #RAG #LearningByBuilding #DDS #ArtificialIntelligence #Gradio #OpenAI #AICommunity

I’m really looking forward to being part of the AI Residency Masterclass Series – MC12: Intro to AI Agents and LangChain. This session feels like a big step forward in understanding how AI is evolving beyond simple chatbots. Learning how AI agents work — and how they can interact with tools, memory, and workflows — is exactly the kind of practical knowledge I want to build. 🔍 What excites me most: - Understanding how AI agents differ from prompt-based applications - Exploring how LangChain connects models with real-world workflows - Moving closer to building more dynamic and useful AI systems This masterclass is designed to build a strong foundation in agent-based AI, helping us understand how modern AI applications are evolving beyond simple interfaces 🔗 Join the session here:👉 https://nas.io/artificialintelligence/events/mc12-cohort9 Appreciative to be part of this journey and continuously learning 📈 #AI #AIAgents #LangChain #AIResidency #LearningJourney #BuildInPublic

Excited to Attend DDS Community Meetup #147! Looking forward to the session on 📅 4th April, 11:00 AM GST — focused on fine-tuning Small Language Models (SLMs) for real-world use. 💡 Key takeaways I’m expecting: - Why SLMs matter in practical AI - QLoRA-based fine-tuning with minimal resources - Tools like Unsloth & models like Liquid AI LFM2.5 1.2B - Local deployment for edge and resource-constrained environments This is exactly the shift from learning → building that matters most. Big thanks to Decoding Data Science (DDS) for such practical sessions 🙌Excited to learn and apply! #AI #MachineLearning #SLM #FineTuning #DDS #AICommunity #BuildInPublic

How DDS & the Ambassador Journey Changed My Path 🌱 Joining the DDS community was a turning point for me. Before this, AI felt overwhelming — too many concepts, too much information, and no clear direction. But DDS changed that. It gave me structure, the right guidance, and most importantly, a community that supports learning by doing. The Ambassador journey pushed me even further. It helped me step out of my comfort zone, share my learning, connect with others, and start thinking like a builder—not just a learner. From just understanding concepts to actually building projects like my HR chatbot, this shift has been real. What changed the most?Clarity, confidence, and consistency. Still learning. Still building. But now, with direction. #AI #DDS #AmbassadorJourney #LearningByDoing #Growth

Hi everyone! 👋 I’m Divya Sunil Kumar, transitioning into AI and Data Science from a healthcare background, with a clear focus on building practical, real-world solutions. Recently, I built and deployed my first HR chatbot during an AI Accelerator Bootcamp—an experience that pushed me beyond theory and into execution. I’ve joined this Ambassador Challenge with a clear intent: not just to learn, but to contribute. I’m here to share what I learn, support others who are starting out, and help build a more active, collaborative community. Growth in AI isn’t about watching—it’s about building, sharing, and improving together. That’s the mindset I’m bringing here. Looking forward to connecting and creating impact