This repos contains notebooks for the Advanced Solutions Lab: ML Immersion

Samples to test the Google's generative AI.

Data Quality Engine for BigQuery

Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match

Google Cloud Product Cataloging Solution using Generative AI

Generative Agents: Interactive Simulacra of Human Behavior

Commons code used by the Data Catalog connectors, and links for the connectors sample code.

Showcasing Google Cloud's generative AI for marketing scenarios via application frontend, backend, and detailed, step-by-step guidance for setting up and utilizing generative AI tools, including ex…

Repository containing reusable assets for an easier explanation of Product Discovery and a smoother customer adoption

Multi-turn chat demo

This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.

Distilling Step-By-Step

Packaged movie recommenders as REST API using tensorflow-recommenders

Numbers every LLM developer should know

Inference code for Llama models

Examples and guides for using the OpenAI API

Unstructured Data Analysis (Graduate) @Korea University

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델 (KoAlpaca: An open-source language model to understand Korean instructions)

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff …

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).

Seq2Seq workshop materials