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Home Technology

Fine-Tuning, LoRA, RLHF & the Tools That Give You Real Control

Linda Torries – Tech Writer & Digital Trends Analyst by Linda Torries – Tech Writer & Digital Trends Analyst
July 10, 2025
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Introduction to Re-training Models

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

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.

Upgrading to Full Access

Upgrade now to unlock Lesson 6 and go beyond the free preview. Get full access to the 10-Hour LLM Primer Course.

What Else Do You Unlock With Full Access?

With full access, you unlock:

  • 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.

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.

Course Benefits

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 that can be immediately applied to create custom AI tutors for your own learning projects.

What You Get

With the 10-Hour LLM Primer Course, 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.
  • 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.

Conclusion

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 and take your LLM skills to the next level.

FAQs

Q: What is the 10-Hour LLM Primer Course?
A: The 10-Hour LLM Primer Course is a comprehensive course designed to teach core LLM skills and techniques.
Q: Do I need prior knowledge to take the course?
A: No, prior knowledge is not required.
Q: What do I get with full access to the course?
A: With full access, you unlock all lessons, including Lesson 6, and get lifetime access to the course, including all future updates.
Q: Is there a money-back guarantee?
A: Yes, there is a 100% money-back guarantee within 30 days if the course doesn’t help you build better with LLMs.

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Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries – Tech Writer & Digital Trends Analyst

Linda Torries is a skilled technology writer with a passion for exploring the latest innovations in the digital world. With years of experience in tech journalism, she has written insightful articles on topics such as artificial intelligence, cybersecurity, software development, and consumer electronics. Her writing style is clear, engaging, and informative, making complex tech concepts accessible to a wide audience. Linda stays ahead of industry trends, providing readers with up-to-date analysis and expert opinions on emerging technologies. When she's not writing, she enjoys testing new gadgets, reviewing apps, and sharing practical tech tips to help users navigate the fast-paced digital landscape.

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