Fabio Antonini’s Post

LLMs as Game Creators: Is It the Future of Game Design?🚀 I recently learned how to build an AI-powered game through an incredible course by DeepLearning.AI, Together AI, and AI Dungeon, using LLMs. This course transformed how I think about and write prompts for LLMs, especially with hierarchical content generation. Key Learnings: 🔑 Hierarchical Content Generation Generate large amounts of content from minimal inputs by structuring prompts effectively. 🔑 Feeding Previous Content Incorporating non-hierarchical, across levels, content allows AI to create a more holistic and consistent perspective. 🔑 Implementing Guardrails Setting up robust input/output rules for LLMs was an intriguing learning, ensuring quality and safety. 🔑 Gradio UI tools Used Gradio UI tools for prototyping and building a chat-based fantasy game UI. 🔑 Game State Management Learned how to track inventory, manage game states, and feed states into game nodes across various levels. Importance of game state: - Enhances memory - Enables clear progression through the game - Applies better constraints (e.g., inventory checks) - Creates a smoother UI experience - Provides a feedback loop between story and state I really enjoyed the course, especially since it was straight to the point. I’m also planning to implement something similar using Spring AI. Let me know if this sounds interesting to you. #GenAI #DeepLearning #GameDesign

🎮 Building AI-Powered Games: What I Learned! 🚀 I recently completed an exciting course on creating AI-driven games with Together AI and DeepLearning.AI. Thank you Niki Birkner and Nick Walton for creating this course. The course was packed with insights, and I’m thrilled to share what I’ve learned! 🔍 Key Takeaways: 👉🏻 Hierarchical Content Generation: I learned how to build complex worlds by using hierarchical content generation. This method allows for the creation of a rich and detailed game environment with high consistency, even in vast, layered settings like fantasy worlds with multiple kingdoms, towns, and characters. 👉🏻 Prompt Engineering for World Building: I got hands-on experience with prompt engineering to create dynamic and interconnected storylines. By using structured prompts, I managed to keep the game's world and story cohesive, ensuring each player interaction had meaningful impact. 👉🏻 Game Mechanics with AI: A big highlight was implementing game mechanics that interact seamlessly with the story. I learned to use AI for parsing text data into structured formats like JSON, allowing for features like an inventory system and complex decision-making scenarios. 👉🏻 Story and State Integration: I explored techniques for improving game memory by feeding story components into the state, keeping the world responsive and coherent. This allowed for dynamic story progression while maintaining the context of past player actions. 👉🏻 Ensuring Safety and Compliance: A crucial aspect was learning to enforce safety guidelines and compliance for AI content generation. Using tools like Llama Guard, I now know how to create custom policies that keep the game environment safe and fun for everyone. Can't wait to apply these skills to future projects! 🎉 #AIPoweredGames #LLMs #AIContentGeneration

I’m thrilled to announce that I’ve just completed a certification in building RPG games using AI, game mechanics, and safe LLM systems with Llama Guard! 🎮✨ This course has equipped me with the skills to create immersive gaming experiences while ensuring the safety and compliance of AI-generated content. Here are some key takeaways from my learning journey: 🎮 Building RPG Games with AI: Learned to design and develop text-based AI games that create engaging narratives and dynamic worlds. Explored hierarchical content generation to craft rich storylines and character interactions. 🛠 Understanding Game Mechanics: Gained insights into implementing core game mechanics, such as inventory systems and player interactions. Developed skills in converting text data into structured formats, enhancing gameplay functionality. 🔒 Ensuring Safety with Llama Guard: Acquired knowledge on enforcing safety and compliance in AI content creation. Implemented custom policies using Llama Guard to create a secure environment for players. I’m excited to apply these skills in future projects and contribute to the evolving landscape of AI in gaming! If you're interested in learning more about AI in game development, feel free to connect or reach out! 🚀

🚀 Thrilled to announce my latest project! 🚀 Over the past few days, I’ve been fully immersed in the world of AI and Computer Vision, and I’m excited to share my Rock-Paper-Scissors AI Game! 🎉 This interactive game combines real-time hand tracking with the classic gameplay we all know and love. It features: 🔹 Real-Time Hand Detection: Using Mediapipe for precise hand gesture recognition. 🔹 Classic Gameplay: Challenge the AI by throwing rock, paper, or scissors with your hand—just like the old days, but with a tech twist! 🔹 AI Opponent: The game generates random moves, creating a dynamic and fun challenge. 🔹 Score Tracking: Visual feedback to keep track of wins, losses, and draws. This project was a fantastic opportunity to blend computer vision with gaming, applying tools like OpenCV, Mediapipe, and Python to create an engaging experience. It’s amazing how much we can achieve with the right tools and a bit of creativity! Feel free to check out the project on GitHub: https://lnkd.in/duwXqru9 I’d love to hear your thoughts and feedback! 😊 #AI #GameDevelopment #ComputerVision #Mediapipe #TechProjects #RockPaperScissors

Here’s Code for that AI&Generated Minecraft CloneA little while ago Oasis was showcased on social media, billing itself as the world’s first playable “AI video game” that responds to complex user input in real-time. Code is …read more https://lnkd.in/damxam-A Here’s, Code, for, that, AI-Generated, Minecraft, Clone

I've always been fascinated about AI systems that can play games. Most interesting part of those systems is the techniques used for training the Agent. Most commonly the training is based on technique called reinforcement learning, where the Agent learns by interacting with the game environment. While playing the game, Agent selects actions and then receives rewards and penalties depending on if the action was desired. This process helps the Agent improve its performance over time and it can learn best strategies to maximize the game score. In essence this is similar how us humans learn to navigate life. I wanted to learn more about such systems so I thought it would be fun to teach computer to play the classic Snake game. After reading many papers and watching numerous tutorials on YouTube I thought I could document my findings also. Hence, I made this short video on how to automate the Snake game and ultimately complete it. Enjoy 😄 https://lnkd.in/dHMeEQxq

🎉 Happy to share that I just completed the short course "Building an AI-Powered Game" provided by Together AI and AI Dungeon on the DeepLearning.AI platform! 🎮🤖 This course was a fun and engaging way to dive deeper into #LlamaGuard 🛡️ and explore new techniques of #PromptEngineering. It’s always rewarding to learn something new, especially when it’s as interactive and nerdy as building AI-driven RPG 🐉🧙♂️🧌 #GenAI #AISafety #AI4Development #FunWithAI #ContinuousLearning https://lnkd.in/dFYHMsN9

In today's Ai5 I take at look of some of the most impactful deepfakes, some gigabrain LLM prompting techniques, a no-code text-to-video game tool, and more! Sending it soon. 🫡

🚀 Day 9 of the #100DaysOfALXSE challenge! Today's highlight: implementing the playing vs AI option in my tic-tac-toe game! I successfully integrated the minimax algorithm for the AI opponent. Currently set to "hard" difficulty, but I'll fine-tune it later for a balanced gameplay experience. Despite facing internet issues, I found the experience quite enjoyable, and the implementation wasn't as challenging as I anticipated. Check out the game here: https://lnkd.in/e9kHFGRT (hosted on free hosting, so it may take a moment to load). Don't miss the opportunity to challenge the AI and test your skills! Stay tuned for more updates, and let's keep pushing boundaries together in the #ALX_SE community! #100DaysOfCode #WebDevelopment

🐍 𝐒𝐧𝐚𝐤𝐞 𝐆𝐚𝐦𝐞 + 𝐀𝐈 = 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 🧠 Thrilled to share my project— a 𝐒𝐧𝐚𝐤𝐞 𝐆𝐚𝐦𝐞 built using 𝐑𝐞𝐢𝐧𝐟𝐨𝐫𝐜𝐞𝐦𝐞𝐧𝐭 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠! 🎮 This classic game now features 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐦𝐚𝐤𝐢𝐧𝐠, allowing the snake to learn from its environment and improve with every move. Developing this project was an exciting journey, combining my passion for gaming with cutting-edge AI techniques. 🔹 𝐓𝐞𝐜𝐡 𝐔𝐬𝐞𝐝: Reinforcement Learning, PyTorch 🔹 𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬: • Adaptive learning through trial and error • AI strategies for optimal movement • Smooth gameplay with real-time decision-making It was fascinating to watch how the AI evolved from basic movements to mastering the game’s complexities! Excited to dive deeper into AI-driven gaming projects. I’d love to hear your thoughts and connect with others passionate about AI and game development! Github: https://lnkd.in/dg4VkCYR #ReinforcementLearning #AIinGaming #SnakeGame #TechInnovation #MachineLearning #GameDevelopment #AIProjects