@computermatthayom31som19596

This project introduces a highly advanced autonomous AI agent built upon the Gemma-4-E4B-it multimodal foundation model. Optimized using Generative Reward Policy Optimization (GRPO) Reinforcement Learning on high-performance AMD MI300X infrastructure, the agent is specifically engineered to perform deep, multi-hop reasoning tasks. Unlike traditional static LLMs, this agent employs a hierarchical Parallel-Agent Reinforcement Learning (PARL) architecture. This allows it to dynamically delegate sub-tasks, interact with live web environments via Playwright, execute Python code for data analysis, and overcome complex research hurdles autonomously. A key technical achievement of this project is the custom training pipeline, which carefully freezes the native vision encoder to preserve full multimodal capabilities while aggressively fine-tuning the model's reasoning and reporting skills. Equipped with a massive 60,000-token context window, intelligent memory compression, and robust anti-reward-hacking mechanisms, the agent excels at synthesizing scattered, unstructured data into highly detailed, well-structured HTML reports. This makes it a state-of-the-art solution for automated deep-dive research, intelligence gathering, and complex problem-solving.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.