Agentics Foundation: SLMs gotta get Fit

Description

Agentics Foundation: SLMs Get Fit Train Small Models with Reinforcement Learning An interactive builder session for anyone curious about how AI models can learn through action, feedback, and rewards — not just prompts. We will explore how 1B–3B Small Language Models can be connected to RL Gym-style environments using OpenEnv, trained to play old-school Atari-style games, and evaluated through real reward signals. This is designed for both technical and non-technical participants. Developers can explore models, training loops, environments, and evaluation; non-technical builders can contribute through game strategy, reward design, testing, product thinking, and business use-case design. The goal is not only to understand RL through games, but to see how the same concepts can improve real-world agentic systems. We will also share in-house demos showing how RL-style feedback loops can be applied to business workflows, operational decisions, customer experiences, automation, and agent performance. 📅 Schedule Doors Open: 10:45 AMStart Time: 11:00 AM 11:00 AM — Introduction: SLMs, RL, and Agent BehaviourA simple explanation of how models learn through environments, actions, rewards, and feedback. 11:30 AM — OpenEnv + RL Gym WorkshopConnect a small model to a game environment, run the action loop, and understand observations, actions, rewards, and episodes. 12:15 PM — Build a Small Game AgentWork in teams to connect a 1B–3B model to an Atari-style environment and test its behaviour. 1:15 PM — Fine-Tuning and Post-TrainingExplore lightweight approaches to improving model behaviour through trajectories, rewards, and feedback. 2:15 PM — From Games to Business WorkflowsSee in-house demos of how RL principles can be applied to real business systems: decision-making, task optimisation, customer operations, workflow automation, and reliable agents. 3:00 PM — Demos, Learnings, and Wrap-UpTeams share what they built, what worked, what failed, and where they see RL being useful next. 👥 Who Should Attend? No prior RL experience is required. Bring a laptop, curiosity, and a willingness to experiment. Why Participate? This is not a lecture-only event. It is a hands-on lab for builders who want to understand where agentic systems are going next.