Want to Learn AI Engineering? BUILD This Game скачать в хорошем качестве

Want to Learn AI Engineering? BUILD This Game

If you want to learn AI engineering, you should know about this course that teaches you how to make a game while learning fundamentals! 📰 Sign up for my AI newsletter here: https://linke.to/angelmail 👉 For Business Inquiries: hi [at] easyberry.io Ever wanted characters in games to have real conversations and memory? In this video, I interview Paul Iusztin from Decoding ML about PhiloAgents - a free, open-source course that teaches AI engineering fundamentals by building an actual game. Key Timestamps: 0:05 Intro 0:54 Who is Paul Iusztin? 5:20 Demo of the game 17:35 The Four Types of Memory 32:18 Likely cause of things going wrong 38:55 How Paul Stays Up to date with AI 40:30 Productivity environment 43:00 Installing Philoagents Yourself What You'll Learn: AI agent architecture and memory systems RAG (Retrieval Augmented Generation) LangGraph and FastAPI integration Prompt engineering techniques 🎮 Game Features: Talk to famous philosophers (Socrates, Ada Lovelace, etc.) Characters remember your conversations Real-time AI responses via WebSockets 80s retro gaming aesthetic 🔗 Resources: PhiloAgents Course: https://github.com/neural-maze/philoa... Paul's Book: https://www.amazon.com/LLM-Engineers-... Decoding ML Blog: https://decodingml.substack.com/ Perfect for beginners wanting hands-on AI engineering experience!