Lesson 6 is Live: Fine-Tuning, LoRA, RLHF & the Tools That Give You Real Control

Author(s): Towards AI Editorial Team

Originally published on Towards AI.

If you’ve watched the first two tutorials in the 10-hour LLM Primer, you already know what prompting can do, and you’ve seen how retrieval takes it a step further.

But if you’ve ever hit a wall with tone, domain accuracy, or stubborn hallucinations, you already know the truth:

Sometimes, a clever prompt (context) isn’t enough. Sometimes, you need to retrain the model.

Lesson 6: Re-training Models is now live inside the 10-Hour LLM Primer Course

Here’s what you’ll learn:

✅ How to fine-tune open models with just a few hundred examples

✅ When to use SFT, LoRA, QLoRA, and how to avoid wasting compute

✅ A quick introduction to reinforcement learning with PPO, DPO, GRPO, RLHF, and RLAIF

✅ How to avoid common failure modes: overfitting, underfitting, hallucinations

✅ Full walkthrough of training with Unsloth, even on free GPUs

This isn’t just “how to fine-tune.”

It’s how to decide when to fine-tune, how to do it efficiently, and how to know if it worked.

Upgrade now to unlock Lesson 6 and go beyond the free preview

Get full access!

What Else Do You Unlock With Full Access?

• Evaluate what actually matters, and combine automated metrics (BLEU, ROUGE, perplexity) with human-in-the-loop and LLM-as-a-judge reviews and domain-informed test cases.
• Dissect agent workflows and tool use, understand when multi-step orchestration is warranted, how tools integrate via API calls or plugins, and how to keep costs and latency under control.
• Master core optimization and safety principles, including model distillation, quantization, and prompt injection mitigation, so your systems stay lightweight, safe, and production-ready.

Before you become an expert, become someone who knows what to try first.

Enroll now and get our 2-hour deep dive on LLM Evaluations included. (As we are adding this final lesson 6th, price will go up. It’s your last chance to get it at $199!)

About The 10-Hour Primer

This course is initially designed as a 1-day Bootcamp for Software Professionals (language agnostic). Although the course has a “for developers” focus, it’s relevant to everyone!

No prior knowledge is required.

A foundation in Python helps, but isn’t essential to benefit from the training.

We teach the core LLM skills and techniques together with practical tips. This will prepare you to either use LLMs via natural language or explore documentation for LLM model platforms and frameworks in the programming language of your choice, and start developing your own customized LLM projects.

The course brilliantly cuts through the overwhelming flood of information on LLMs, delivering knowledge in digestible, bite-sized modules that build confidence step by step. The sections on prompt engineering and API integration were particularly valuable, providing practical skills I immediately applied to create custom AI tutors for my own learning projects. — Matt Chantry

Plus, you also get:

• 📼 Self-paced video lectures: All sessions are pre-recorded, so you can learn on your schedule.
• 🔁 Lifetime access: Includes all future updates.
• 🧑‍🏫 Live Kick-Off Call + Private Discord: Ask questions, get feedback, and connect with instructors. (Next call is this Sunday if you get in fast enough!)
• 📜 Certificate of completion: Showcase your skills on LinkedIn or your resume.
• 💵 100% money-back guarantee within 30 days: If it doesn’t help you build better with LLMs, get a full refund.

You’ve already invested your time.

Now invest in the skills that help you ship smarter and faster.

Watch Lesson 6 now inside the 10-Hour LLM Primer

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Published via Towards AI