Learn how to finetune an open source language model to create thought tokens before responding. This allows us to increase the intelligence of a language model, without increasing hardware requirements to chat with these local open source language models.
In this video I will go through:
– Creating a dataset to train your thinking model.
– Finetuning your own custom reasoning model in a Google Colab Notebook.
– Creating a custom Ollama model from your model to run locally with maximum efficiency.
– Code a Python script to interact with your custom model to mimic the functionality of ChatGPT’s o1 & o3 models.

BECOME A PRO MEMBER: https://buymeacoffee.com/aiaustin
MY DISCORD SERVER: https://discord.gg/mGyX5MwrU7

Google Colab Notebook for this video:
https://colab.research.google.com/drive/1NS1XoXqMcJeGctDd6sgubOQjGfr8Z22v?usp=share_link

#ai #artificialintelligence #tech