★ Featured🌍 Public RSVP
How To Train Your LLM 🐉
When
Friday, 02 October 2026
18:00–22:00
“Interested” saves it to your list and sharpens your recommendations. “Going” marks your spot and opens the organizer’s page so you can grab the actual ticket.
🚨Looking for a venue, please reach out!🚨 A hands-on beginner workshop on what actually happens inside an LLM. You’ve used ChatGPT. Maybe you’ve played with prompts, APIs or open models. But what does it actually mean to train a language model? In this 4-hour workshop, we’ll go from a tiny model that barely knows how to speak to a real pretrained LLM that we can fine-tune ourselves. No AI magic. No 80-slide lecture. We’ll actually build things. What we’ll do - Turn text into tokens and see how next-token prediction works - Train a tiny language model from scratch - See how a Transformer improves on our first model - Experiment with temperature, training time and model size - Run a real open-source LLM on a GPU Understand CPU vs. GPU, memory and quantization - Fine-tune a pretrained LLM with LoRA - Compare the model before and after training You’ll leave understanding Training vs. inference. Pretraining vs. fine-tuning. Tokens, parameters, Transformers, GPUs, LoRA and why any of it matters. More importantly, you’ll have actually used these concepts yourself instead of just hearing about them. Who is this for? Developers, students, data/product people and technically curious humans who want to understand LLMs beyond prompting. You don’t need previous machine-learning experience. Basic Python familiarity will help, but the exercises are guided. Format 4 hours · Beginner-friendly · Hands-on We’ll use a prepared cloud environment with access to GPUs, so you won’t need to install CUDA, own a powerful laptop or spend half the workshop debugging dependencies. Bring your laptop and curiosity. 🚨We're looking for a venue to host this. Please contact Sonya on LinkedIn.🚨
- Where
- Zurich
- Organizer
- Sonya P.
- Who's going
- ~40 expected
- Registration
- 🌍 Open to all
