🚀 I’m excited to share “The Agent Design Playbook: Canvas + Principles for Enterprise AI Success”—a comprehensive guide for anyone looking to design adaptive, goal-driven AI agents for enterprise workflows.
#artificial_intelligence#AIAgent
https://t.co/wHftCnW0bU
🌕 Just trained my Deep Reinforcement Learning agent — a Lunar Lander that learns to land safely on the Moon! 🚀
Built with PPO, Gymnasium, and Stable-Baselines3, and published to the Hugging Face Hub.
🔗https://t.co/Ct9dtx8NpD
#ReinforcementLearning
LLMs hitting a memory wall? 🚀 FlashAttention just CRUSHED it! Get 20X more context and 3X faster training/inference with ZERO quality loss.
https://t.co/9AZ50GWchK
#AI#LLMs#DeepLearning
🧠 Most AI agents think.
But some can code.
That’s the difference between ReAct and CodeAct.
If you're building autonomous agents for real-world tasks, this breakdown is a must-read 👇
🔗https://t.co/mviWT2pZ0k
#AI#AutonomousAgents#CodeAct#ReAct#LLM#FutureOfWork
Agent Canvas: Design AI Agents That Deliver Business Value https://t.co/brywoFfmHM
Download free template here https://t.co/8Rz4sHrOIf
#agentcanvas#aiagents#ai#Grok4
@elonmusk@grok Excited about #Grok4, especially the potential to re-imagine business processes by designing AI agents with #agentcanvas and building agents using #Grok4!
@sreeramanmg All the points you mentioned are spot on. The procurement agent example is especially relevant in the context that business processes are ripe for re-imagination & rebuilding. I created Agent Canvas #agentcanvas to help map business processes to AI agents https://t.co/MDPH1rO3dw