Andrei Tsetserau’s Post

The journey continues, and today my focus is on three powerful ideas shaping modern AI: 🔹 Generative AI – AI that creates. From text to images, music to code, it shows the creative side of machines. 🔹 RAG (Retrieval-Augmented Generation) – AI that doesn’t just generate, but also retrieves reliable data to make its answers more accurate and trustworthy. 🔹 AI Agents – AI that goes beyond chatting. They can reason, plan, use tools, and even remember past interactions — almost like digital assistants that think and act. Step by step, I’m beginning to see how these concepts connect and push AI forward. Learning never stops. 🌍✨ will keep updating U as I learn more from my mentor Chukwuemeka Paul Nwokolo and Dimconnect #ArtificialIntelligence #GenerativeAI #RAG #AIAgents #LearningJourney

🚀 AI-Powered Future with RAG Systems! Retrieval-Augmented Generation (RAG) is transforming the way businesses use AI. Unlike traditional AI models, RAG connects real-time data with powerful language models to deliver: ✅ Accurate & up-to-date responses ✅ Enterprise-ready solutions ✅ Smarter decision-making with contextual knowledge From customer support to enterprise knowledge management, RAG ensures your AI is reliable, scalable, and future-ready. 🌐 The future of AI is not just about generating answers — it’s about generating the right answers with trusted data. #AI #RAG #ArtificialIntelligence #FutureOfWork #Innovation

“AI is Not the Strategy. It’s the Amplifier.” Everyone’s talking about LLMs. But here's a truth I’ve learned: AI is not the strategy. It’s the amplifier. If your user journey or product-market fit is broken, no AI can fix it. We’re using AI only after asking: What does the learner truly need? Where can we enhance their trust? How do we nudge them, not overwhelm them? Let’s use tech to solve human problems not the other way around. #AIWithPurpose #HumanCenteredDesign #StrategyFirst #AIFuture #SurbhiBuilds

Most businesses experimenting with #AI quickly realize that single large language model is not enough. 🤖 On its own, an #LLM may hallucinate, miss real-time company data, or struggle with multistep reasoning. 🚨 That’s why the industry is moving toward #LLM_orchestration, combining multiple models, tools, and data sources to create business-ready AI systems. 👉 Check the posts for insights to learn this technology deeply.

Everyone’s talking about Generative AI, but most only see the surface. This guide takes you deeper — from core concepts to advanced techniques — showing how each step adds clarity and helps you build smarter, more adaptable, and future-ready AI systems. 🔹 Here’s the roadmap to mastering Generative AI: 1️⃣ GenAI Terminologies Understand the foundations — transformers, diffusion models, and large language models that power today’s AI. 2️⃣ Using the Model APIs Learn how to leverage tools like OpenAI, Hugging Face, and Vertex AI to scale and integrate AI into real-world applications. 3️⃣ Making Models Your Own Explore fine-tuning, knowledge injection, and lightweight methods (like LoRA) to personalize models effectively. 4️⃣ Advanced GenAI Techniques Go beyond basics with model distillation, orchestration, and multi-agent systems to handle complex workflows. This isn’t theory — it’s the practical foundation shaping how AI learns, adapts, and creates. Follow Manish Kumar Singh for content.

Everyone’s talking about “prompt engineering”, but what does that actually mean in practice? The truth is: good prompts aren’t about magic words, they’re about structure. When you give AI clarity on role, task, format, constraints, and tone, suddenly the output goes from generic to genuinely useful. In other words, prompts aren’t just requests. They’re instructions that shape how AI helps your business. Curious what that looks like in action? Watch this short video where we break it down in under 60 seconds. Trengo #AI #PromptEngineering #FutureOfWork #Trengo #Productivity

Are you using AI to replace your ability to think? Or is it a useful tool to think more deeply? Unlike the rest of the world I saw more value in GPT5. It is not perfect. But used correctly, it has value. I do not want an AI to pretend to be my chum. False encouragement is simply noise. Crafting a better prompt leverages the technology. But what is it doing to your thinking processes? It can not replace you, it can leverage your ability. Your clarity is your "weapon of choice". We discuss ideas with each other to reach clarity. Using an AI is an evolving art. Remember, it is YOU that evolves. Learns. Improves. Grows.

Don't Just Ask. Prompt. Tired of generic, boring answers from AI? The problem isn't the tool—it's the instructions. A vague question gets you a bland result. But a professionally crafted prompt gives the AI a clear vision, transforming it from a simple tool into your most powerful collaborator. Stop wasting time on "blah" answers. Start getting "wow" results. Unlock the full potential of AI by learning to prompt smarter.

28 Day AI Challenge: Day Ten Most people ask AI for answers. What if we flip it? Feed in your own idea or strategy, then ask AI to play devil’s advocate. Tell it to be an expert in that field and challenge your thinking. The point isn’t always what AI gives you. In this example it’s how it forces you to rethink. I don’t know if there’s a formal definition for this in the AI world. But for me it’s just a useful use case: AI as a sparring partner, not a solution machine. Is there a formal definition?

Fun Fact: AI-generated article outlines are more likely to be cited in AI chatbot responses. This is because Gen AI tends to produce structured chunks of content—like lists or outlines—that align with the way AI tools prefer to retrieve and present information. [The Endless Circuit]