User
Write something
Weekly AI Community Meetup is happening in 32 hours
Agentic AI Workshop
Another fantastic learning session from Decoding Data Science (DDS)! Today's Agentic AI workshop highlighted that building successful AI solutions goes far beyond prompting, as it requires the right combination of context, harness, and loop engineering. The live HR assistant demo showcased how RAG, SQL, memory, and tool orchestration can work together to solve real business problems. A key takeaway for me was the importance of data governance, token optimization, and selecting the right model for the right task to build scalable AI applications. It was also refreshing to hear the emphasis on continuous learning, strong architectural thinking, and starting with practical business use cases before scaling. Looking forward to putting these insights into practice during the upcoming Agentic AI Challenge and continuing to learn with this amazing community! #AgenticAI #ArtificialIntelligence #DecodingDataScience #AIEngineering #LLMs #RAG #ContinuousLearning
🥉 3rd Place Worldwide out of 295 participants 🌍
Proud to see NovaDXB recognised among incredible AI projects from builders around the world. 🚀 NovaDXB is an AI Agentic Concierge for Dubai Tourism featuring: 🗺️ Smart itinerary generation 🏠 Area recommendations based on budget and travel style 🍽️ Dining concierge with personalized suggestions 💰 Transparent AED budget estimation 📍 Curated Dubai local knowledge base ⚡ Agentic reasoning powered by specialized tools 🖥️ Interactive split-panel experience with route visualization ✅ Production-ready deployment ✅ Dockerized architecture ✅ Live on Hugging Face Spaces ✅ 20/20 structured evaluation score Huge thanks to Mohammad Arshad and Decoding Data Science for creating a challenge that pushed builders to ship real products. Special thanks to the DDS Honest judges Dr. Jassim Al Awadhi (PhD, EMBA) Reem AlMusabbah Ben Owen Latifa AlShehhi Mohamed Al Marri, CIPME, ITBMC, for their time, evaluation, and feedback throughout the challenge 🙏 🔥 NovaDXB v2 is already in development with even more capabilities coming soon. 💬 Always open to feedback from AI builders, engineers, and recruiters working on LLM systems and agentic applications. DDS Business Circle Google for Developers JetBrains ATELIC #NovaDXB #AIAgents #GenerativeAI #Dubai #LangChain #RAG #HuggingFace #AIEngineering #MLOps #BuildInPublic #DubaiTech #TourismAI
🥉 3rd Place Worldwide out of 295 participants 🌍
FDE - Forward Deployment Engineering ('The' new buzz in town !!!)
FDE (Forward Deployed Engineering) is quickly becoming one of the hottest topics in AI. With companies like Microsoft and AWS building dedicated FDE teams, it feels like the industry has discovered a brand-new role overnight. 😄 The reality is that customer-facing deployment engineers, solution architects, and implementation specialists have always been essential for turning complex technology into real business outcomes. AI has simply made that need impossible to ignore, as every deployment now demands deeper technical expertise and closer collaboration with customers. It's exciting to see this role finally getting the recognition it deserves—even if it's being introduced as the "latest innovation" with a fresh AI label!
Loop Engineering...
We've spent the last few years talking about prompt engineering, then context engineering, and more recently, agent engineering. Now, a new concept is gaining attention: Loop Engineering. Loop Engineering is quickly becoming one of the most important concepts in modern AI. As organizations move beyond prototypes to production, success is no longer determined by a single prompt or even a single agent. It's about designing systems that can plan, execute, evaluate, learn from feedback, and continuously improve. These iterative loops make AI more reliable, resilient, and trustworthy in real-world applications. I believe the next wave of innovation will come from teams that master not only models but also the feedback and decision-making loops that surround them. The future of AI is not just intelligent responses—it's intelligent iteration. #AI #LoopEngineering #AgenticAI #ArtificialIntelligence #AIEngineering
A good AI assistant does more than retrieve information—it knows which tool to use, how to verify the result, and how to reconcile policy with personal data.
This architectural blueprint shows how Decobot / Hala, our HR Leave & Attendance Assistant, combines: LangChain ReAct for orchestration LlamaIndex RAG for HR policy retrieval SQLite FunctionTool for verified employee data Reconciliation and safety checks for reliable answers The key lesson: policy knowledge and personal facts should not be handled the same way.
1
0
A good AI assistant does more than retrieve information—it knows which tool to use, how to verify the result, and how to reconcile policy with personal data.
1-30 of 277
powered by
Decoding Data Science
skool.com/decoding-data-science-6929
Learn AI, data science, and career growth through practical workshops, mentoring, challenges, and a supportive community.
Build your own community
Bring people together around your passion and get paid.
Powered by