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1. GCP-LAB-Vector-Search-and-Embeddings GCP-LAB-Vector-Search-and-Embeddings Public

   Getting Started with Vector Search and Embeddings

   Jupyter Notebook 1

2. GCP-Lab-Using-Gemini-for-Multimodal-Retail-Recommendations GCP-Lab-Using-Gemini-for-Multimodal-Retail-Recommendations Public

   GCP Lab Using Gemini for Multimodal Retail Recommendations

   Jupyter Notebook

3. GCP-Lab-Multimodal-Retrieval-Augmented-Generation-RAG-using-the-Gemini-API-in-Vertex-AI GCP-Lab-Multimodal-Retrieval-Augmented-Generation-RAG-using-the-Gemini-API-in-Vertex-AI Public

   GCP Lab of Multimodal Retrieval Augmented Generation (RAG) using the Gemini API in Vertex AI

   Jupyter Notebook

4. GCP-LAB-Transformer-Models-and-BERT-Model GCP-LAB-Transformer-Models-and-BERT-Model Public

   The lab shows how to fine-tune BERT to perform sentiment analysis on a dataset of plain-text IMDB movie reviews. In addition to training a model, how to preprocess text into an appropriate format.

5. GCP-Challenge-Lab-Inspect-Rich-Documents-with-Gemini-Multimodality-and-Multimodal-RAG GCP-Challenge-Lab-Inspect-Rich-Documents-with-Gemini-Multimodality-and-Multimodal-RAG Public

   Inspect Rich Documents with Gemini Multimodality and Multimodal RAG: Challenge Lab

   Jupyter Notebook

6. GCP-Challenge-Lab-Develop-GenAI-Apps-with-Gemini-and-Streamlit GCP-Challenge-Lab-Develop-GenAI-Apps-with-Gemini-and-Streamlit Public

   Challenge-Lab: Develop GenAI Apps with Gemini and Streamlit

   Jupyter Notebook