AI for Software Engineers: LLMs, RAG & Agents Explained Simply (No Hype) скачать в хорошем качестве

AI for Software Engineers: LLMs, RAG & Agents Explained Simply (No Hype)

Are you a software engineer who keeps hearing "AI", "LLMs", "RAG", "Agents" — and nodding along without really knowing what any of it means? This session is for you. In this recorded session, we go from confusion to clarity — no math, no hype, no PhD required. Just honest, engineer-friendly explanations of the technology that's reshaping our industry. What you'll learn: → How AI, ML, Deep Learning, and GenAI actually connect (you already know more than you think) → What an LLM is and how it really works (it's a very powerful autocomplete) → Prompt engineering — what actually matters and why tokens = cost → How to call an AI API as a developer (it's just a POST request) → Why LLMs have limitations — knowledge cutoff, hallucinations, no private data → RAG explained with the open-book exam analogy — plug your own data into any LLM → Agents — the human analogy: Brain = LLM, Hands = Tools, Memory, Loop → Multi-agent systems with crewAI — real stock trading example → Where to start learning (and what to skip first) 🛠 Resources mentioned: → Hugging Face Spaces (try live AI demos, no login): https://huggingface.co/spaces → DeepLearning.AI free short courses: https://www.deeplearning.ai/short-courses/ → OpenAI API: https://platform.openai.com → Anthropic API (Claude): https://console.anthropic.com → crewAI quickstart: https://docs.crewai.com → Andrej Karpathy — "Neural Networks: Zero to Hero" (YouTube): search on YouTube 📌 This is Session 1 of an ongoing AI series for software engineers. More sessions coming on RAG hands-on, building agents from scratch, and production AI systems. If this helped you — like the video and drop a comment with the one thing that clicked for you. It genuinely helps the channel and tells me what to cover next. #AI #MachineLearning #GenerativeAI #LLM #RAG #AIAgents #SoftwareEngineering #ChatGPT #ArtificialIntelligence #LearningAI