Fine-tune your own LLM in 13 minutes, here’s how
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Step-by-Step Guide to Fine-Tuning Your Own AI Model Using Unsloth
Learn exactly how to fine-tune an open-source AI model from scratch using free Google Colab resources, establishing a defensible business moat using customized technology.
Short Summary
- Fine-tuning adapts base models (like GPT OSS 20B) to excel at specific tasks, offering a business advantage over commodity AI services.
- The process leverages the Unsloth library within a free Google Colab environment, which supplies necessary GPU power.
- Successful fine-tuning requires high-quality, task-specific datasets, such as those focused on reasoning and agentic behavior.
This presentation walks through setting up the environment, selecting the base model, preparing data, running the training loop, and testing the resulting custom model. Mastering this skill is positioned as essential for serious AI practitioners seeking long-term business viability.
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Top Comments (10)
Fine-tuning is easy, preparing data properly is the hard, very hard part.
I appreciate your video, but I would have liked to see the actual end user benefits of using a fine tuned LLM via a demo at the end.
you already know we want you to dig deeper into the OpenAI harmony prompts
💼 Learn about the best AI Business models here - https://www.youtube.com/watch?v=Ta5g-OxjPO4
I have absolutely no idea what are you doing. Unsloth notebooks are now updated, and I have 2x no idea how I suppose to understand what should I do. I don't even understand how can you understand what are you doing, but thanks for the video, it keeps us motivating
Would love to see a more in depth version of this, with preparing training data, and actually do the finetuning on your own hardware
Excellent video, brother, many congratulations and blessings. Stay tuned for the continuation of this video, as well as the address to test GPT-OSS with your fine-tuning.
I have heard your voice so many times that now it became very soothing for me.
you are so inspiring especially 8:38 "because this has released just two months ago and somehow i haven't seen it before" thank you so much for this content
It's really Excellent David, It gave me kick start with finetuning :) Now, next part is preparing the dataset on our own, how we could do that. Appreciate if you could bring something around that. That would compete the full lifecycle of pushing on our own model journey. Thanks again for brining these knowledge videos, keep spreading the knowledge to groww. God Bless you!!
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Top Comments (10)
Fine-tuning is easy, preparing data properly is the hard, very hard part.
I appreciate your video, but I would have liked to see the actual end user benefits of using a fine tuned LLM via a demo at the end.
you already know we want you to dig deeper into the OpenAI harmony prompts
💼 Learn about the best AI Business models here - https://www.youtube.com/watch?v=Ta5g-OxjPO4
I have absolutely no idea what are you doing. Unsloth notebooks are now updated, and I have 2x no idea how I suppose to understand what should I do. I don't even understand how can you understand what are you doing, but thanks for the video, it keeps us motivating
Would love to see a more in depth version of this, with preparing training data, and actually do the finetuning on your own hardware
Excellent video, brother, many congratulations and blessings. Stay tuned for the continuation of this video, as well as the address to test GPT-OSS with your fine-tuning.
I have heard your voice so many times that now it became very soothing for me.
you are so inspiring especially 8:38 "because this has released just two months ago and somehow i haven't seen it before" thank you so much for this content
It's really Excellent David, It gave me kick start with finetuning :) Now, next part is preparing the dataset on our own, how we could do that. Appreciate if you could bring something around that. That would compete the full lifecycle of pushing on our own model journey. Thanks again for brining these knowledge videos, keep spreading the knowledge to groww. God Bless you!!