GCP

In this post, I will briefly define supervised fine-tuning of large language models (LLMs), prepare a dataset for Google Vertex AI collected from social media posts, and use Vertex AI to train Google’s LLM, Gemini to analyze the sentiment. This is a purely no-code blog post. I will demonstrate everything directly from the Google Cloud Console using Vertex AI. Introduction Fine-tuning a large language model (LLM) is the process of further training a pre-trained model to perform a specific task or work with a particular dataset....

In this post, I will briefly define Large Multimodal Models (LMM), explain the data modalities of LMMs, and demonstrate Google Gemini’s multimodal capabilities using text and images. This is purely a no-code blog post. I will demonstrate everything directly from the Google Cloud Console using Vertex AI Studio and Vertex AI to showcase a simple example of using multimodal inputs (text file and image) Introduction A Large Multimodal Model (LMM) is an Artificial Intelligence (AI) model capable of processing and understanding multiple types of input data modalities simultaneously and providing outputs based on this information....