Fine Tuning LLMs - Go Beyond Prompts for True Customization

01 Sep 2025   12:30 AM CST

  • Free Webinar
  • Live Q&A
  • Free Participation Certificate
  • Learn from Industry Experts

Learn More About This Topic

Webinar Overview
This hands-on webinar is your practical guide to fine-tuning a Large Language Model (LLM) for a specific task. Building on the "shoot first, ask questions later" philosophy, we will directly dive into fine-tuning Microsoft's Phi-3 Mini 4K Instruct model to achieve English-to-Yoda-speak translation. You'll get to experience the entire workflow, from loading a quantized model and configuring low-rank adapters (LoRA) to preparing your dataset and utilizing Hugging Face's powerful tools like PEFT and TRL for supervised fine-tuning. By the end of this session, you'll have a working, fine-tuned LLM capable of generating Yoda-speak, empowering you to start your own LLM customization journey.
Key Points

  • Getting Started with LLM Fine-Tuning
  • Efficient Model Loading with Quantization
  • Mastering Low-Rank Adapters (LoRA)
Meet The Trainer
Krishna Ramlolarakh Dwivedi
Krishna Ramlolarakh Dwivedi

AI trainer and developer with 10 years of experience, expertise in Python, machine learning, and AI ethics. Proficient with Django and Neo4j, and holds Azure AI certifications. Passionate about educating and implementing ethical AI solutions.

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