NVIDIA Engineer to Deep Dive Post-Training Stack: From Base Model to Agent
aiwithaish · x · 2026-08-20
The Gen Academy is hosting a free session on Aug 20 featuring Chris Alexiuk, Senior Product Research Engineer at NVIDIA, to deep dive into NVIDIA's post-training stack.
Key Learning Points:
- Modern Post-Training Stack: See how SFT, RLVR, and RLHF shape a base model into a capable assistant, reasoner, and agent.
- Design Rewards Models Can’t Game: Learn why strong verifiers are critical for RL, evals, and reliable model improvement.
- Choose the Right Model and Reasoning Budget: Learn when to use smaller vs. larger models and how reasoning depth impacts cost, latency, and quality.
- Think Like a Post-Training Systems Engineer: Understand how environments, rollout infrastructure, and resiliency shape frontier model performance.
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