Train LLMs in just 50 lines of code!

From the creator

In this video, i'll show you how you can train or finetune your own LLM in the least amount of code possible. In addition, as a bonus, ill also show you how you can do the same without writing any code at all. For the coding part, we will be using torch, transformers, peft and trl libraries. For the no-code solution, we will be using autotrain-advanced. You can install autotrain-advanced using pip: "pip install autotrain-advanced" I'll be using my home machine. No cloud needed! Please subscribe and like the video to help me keep motivated to make awesome videos like this one. :) My book, Approaching (Almost) Any Machine Learning problem, is available for free here: https://bit.ly/approachingml Follow me on: Twitter: https://twitter.com/abhi1thakur LinkedIn: https://www.linkedin.com/in/abhi1thakur/ Kaggle: https://kaggle.com/abhishek

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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional £25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

◆ Fri 13 Nov 2026 ◆ KOKO, London
Makers residency 4th edition
Live event
Makers residency 4th edition
Fri 13 Nov 2026

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