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Agentic Workflows vs. LLM Fine-Tuning — Architecting Scalable Solutions for Complex Tasks
11 Jun 2025
Masterclass Programme
Masterclass Programme
What You’ll Learn:
- Design and orchestrate solutions for multi-step generative tasks using advanced LLM techniques.
- Analyse trade-offs between out-of-the-box LLMs with Chain-of-Thought prompting, orchestrated multi-agent systems and Fine-Tuning LLMs for task decomposition and execution.
- Deep dive into key factors influencing LLM output quality, including data curation, model architecture, and evaluation strategies.
Demo:
- Apply cutting-edge supervised FT methods with reinforcement learning techniques (like DPO and ORPO) and optimize LLMs for training and inference on single-GPU or resource-constrained environments.
Who Should Attend:
- ML Engineers & Data Scientists
- AI Infrastructure Leads & MLOps Professionals
- Technical Decision Makers & AI Strategists
- Innovation & R&D Leaders
Pass Type
VIP All Access Pass,Delegate Pass,Start-up & Investor Pass,Academic Pass,Press Pass
Content Focus
Technical
Session Type
Masterclass
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