Anish Shah

This session explores how large language models evolve from single-prompt tools into agentic systems capable of solving real-world business problems. We’ll cover the design principles behind agents — reflection, tool use, planning, and collaboration — and show how these map to modern architectures.

Join Anish Shah for an in-depth session on fine-tuning and evaluating multimodal generative models. This talk will delve into advanced methodologies for optimizing text-to-image diffusion models, with a focus on enhancing image quality and improving prompt comprehension.

This session explores the evolution of evaluation techniques in machine learning, from traditional model training through fine-tuning to the current challenges of assessing large language models (LLMs) and generative AI systems. We’ll trace the progression from simple metrics like accuracy and F1 score to sophisticated automated evaluation systems that can generate criteria and assertions.