Peter Belcak

Peter Belcak, an AI research scientist at NVIDIA, discusses his groundbreaking paper on the promise of small language models (SLMs) for agentic AI. He highlights how SLMs can outperform larger models in cost-effectiveness and operational efficiency. Peter explores the transformation process from large models to smaller agents and introduces tools supporting this fine-tuning. He also addresses bias mitigation in data selection and the importance of collaboration in the evolving landscape of AI, paving the way for a more accessible future.