Welcome back, data enthusiasts! In today's tutorial, we're diving deep into the realm of finetuning to craft a domainexpert AI assistant. In this tutorial, we'll guide you through each step, from setting up your accounts and environments to preprocessing your data and executing the finetuning process. Whether you're a seasoned data scientist or just starting out, this handson guide will equip you with the skills to create a customized chatbot tailored to your unique use case.

Join us as we explore the intricacies of ParameterEfficient FineTuning (PEFT) with Low Rank Adaptation (LoRA) to retrain an opensource Large Language Model (LLM) on UbiOps documentation. This is a faster, cheaper, and less resourceintensive finetuning method.

You can also follow the detailed, written version of this tutorial here: https://ubiops.com/finetuneamodel...

Learn how to:

Create a UbiOps and HuggingFace account to gain access to the Mistral7binstructv0.2 model.
Prepare documents to be used as training data.
Initiate a training run to finetune the model.

⚙ To successfully complete this guide, you will need:

UbiOps account with training functionality enabled (see below)
Supporting files and code snippets included in the full tutorial: https://ubiops.com/implementingragf...

UbiOps:
Free trial account signup: https://app.ubiops.com/signup/
Slack community: https://join.slack.com/t/ubiopscommu...
Contact form: http://ubiops.com/contactus/
Blog page for more guides: https://ubiops.com/blog/
Documentation: https://ubiops.com/docs/

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Chapters:
0:00 Introduction
1:39 Create accounts
1:52 Prepare training data
2:40 Finetune the model
3:17 Test the model
3:54 Conclusion

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