#Vertex AI

Access a plethora of learning resources around Generative AI on Google Cloud's Vertex AI, including notebooks and code samples for developing and managing generative AI workflows. This extensive repository highlights the use of Vertex AI for creating solutions in image, speech processing, and conversational models.

LangChain Coder AI utilizes models from OpenAI and Google Vertex AI to generate versatile, high-quality code snippets. It is tailored for developers needing modular and optimized code across various languages. The advanced code editor allows customization of the development environment with settings such as font size and themes. Supports both offline and online compilation, and integrates AI models like GPT-4 and Code Gecko, ensuring precise code completion. It's a robust tool for working with PALM and GEMINI AI models, meeting diverse programming requirements.

Discover Jupyter notebooks tailored for Vertex AI that transition software engineers from basic to advanced machine learning levels. The repository provides various model architectures including DNN, CNN, and RNN, as well as resources for efficiently deploying models using TensorFlow, PyTorch, and Scikit-learn on Google Cloud. Users can enhance their skills via structured labs, solutions, and comprehensive setup instructions. Emphasizing hands-on experience with TensorFlow, it is well-suited for beginners. Contributions are currently limited to Google employees, fostering internal growth.

This repository offers diverse resources like code samples and notebooks for developing and managing AI workflows with Google Cloud's Vertex AI. It supports both beginners and experts in utilizing its AI platform, providing guides on model development, deployment, and explanation. The community can contribute to enhance these resources, making it an evolving hub for machine learning exploration.