Fine-tuning DeepSeek R1 to respond like Humans using Python!

Author(s): Krishan Walia

Originally published on Towards AI.

Learn to Fine-Tune Deep Seek R1 to respond as humans, through this beginner-friendly tutorial!

Krishan Walia

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Let’s make DeepSeek R1 respond like us — humans!🚀

It is one of those tasks that were tried to achieve in almost all the LLMs be it Gemini, Llama or GPT, and now with the staggering performance metrics, it's time for DeepSeek-R1 to prove itself.

Through this article, you will learn how you can make the general-purpose DeepSeek R1 model, stop responding like machines and be as emotive and intriguing as us — humans!

Stick till the end, and you will be able to make one such model for yourself!

Not a Member?Access the full article here (and don’t forget to leave at least 5 claps 👏🏻👏🏻)

DeepSeek R1 has introduced a completely new way by which LLMs are trained and has brought an impressive change in the way these models respond after thinking and performing a set of reasoning.

This small change in performing the thinking and reasoning before responding has brought really remarkable results in most of the metrics. And that’s why DeepSeek R1 has become the go-to choice for almost all savvy developers and founders.

Some developers and founders are also discovering the way they can utilize this best available model for… Read the full blog for free on Medium.

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Published via Towards AI