How to Fine tune a Large Language Model (LLM) | Easy Fine Tuning tutorial with Google AI Studio

Fine Tuning a LLM tutorial using Google AI studio has never been easier, we walk through two methods and demonstrate how to build a fine tuned LLM on your Inputs and your outputs.

Fine tuning a model is useful to get more control and accuracy on the outputs generated, and give you control on the source of the information for your context. This leads to responsible AI and demonstrates good governance on AI.

In this Easy Fine Tuning tutorial we show you how simple it is to fine tune a LLM and test it and deploy it.

Links: ai.google.dev
Fine Tuning in Vertex AI:    • Fine Tuning a Model in Gemini and Ver...  

For a Full course on AI with Google Vertex and how to build your AI applications support me here: https://www.udemy.com/course/ai-on-go...


Contents:
00:00 Introduction
01:02 Using AI Studio
01:52 Start Fine Tuning
02:12 Tuning Guide
03:08 Method 1 - Structured Prompt
05:40 Method 2 - Imported List of data
08:06 Build the LLM
08:54 Check the Model
09:51 Testing and Using the LLM
11:22 Add more data and Re-Tune LLM
12:17 How to use this LLM in Prodcution
12:56 Get API Key
13:29 Install Generative AI packages for Python

#googleaistudio #geminipro #googleai