Lunch & Learn: In this bootcamp we demonstrate how smaller open source models, fine-tuned to excel at specialized tasks (e.g. classification, function calling etc.) can deliver comparable if not improved quality over proprietary state of the art models, resulting in significant cost reduction (over 60x) in your GenAI usage costs.

We’ll learn how to (1) collect and curate a fine tuning dataset, (2) fine tune an open source model (Llama 3), and (3) deploy the model fine tune into production with OctoAI and OpenPipe.

Follow the prerequisite instructions contained within the colab notebook (takes about 2 mins of setup): https://colab.research.google.com/drive/1DVw6vfEtzYV7QfcVXhmmjTVBOiJiJ02b#scrollTo=fUT1waisoXFs