language

Generative AI - Language

Welcome to the Google Cloud Generative AI - Language repository.

Table of Contents

language/
├── code/
│   ├── [Notebook] Introduction to Code Chat
│   ├── [Notebook] Introduction to Code Completion
│   ├── [Notebook] Introduction to Code Generation
│   └── [Notebook] Retrieval Augmented Generation (RAG) with Codey
├── getting-started/
│   ├── intro_generative_ai_studio.md
│   └── [Notebook] Getting Started with the Vertex AI PaLM API & Python SDK
├── grounding/
│   └── [Notebook] Introduction to Grounding in Vertex AI
├── orchestration/
│   └── langchain/
│       └── [Notebook] Getting Started with LangChain 🦜️🔗 + Vertex AI PaLM API
├── prompts/
│   ├── examples/
│   │   ├── [Notebook] Ideation with Generative Models on Vertex AI
│   │   ├── [Notebook] Question Answering with Generative Models on Vertex AI
│   │   ├── [Notebook] Text Classification with Generative Models on Vertex AI
│   │   ├── [Notebook] Text Extraction with Generative Models on Vertex AI
│   │   └── [Notebook] Text Summarization with Generative Models on Vertex AI
│   └── [Notebook] Prompt Design - Best Practices
├── sample-apps/
│   └── Chat Application in Python Flask on Cloud Run
│   └── Chat Application in Gradio on Cloud Run
│   └── Chat Application in Streamlit on Cloud Run
│   └── Cloud Function that wraps the Vertex AI PaLM Code Model
│   └── Cloud Function that does summarization using Vertex AI PaLM Text Model
│   └── Cloud Function that wraps the Vertex AI PaLM Text Model
├── tuning/
│   └── [Notebook] Tuning and deploy a foundation model
└── use-cases/
    ├── chatbots/
    │   └── [Notebook] GroceryBot, a sample grocery and recipe assistant - RAG + ReAct
    ├── sql-code-generation/
    │   └── [Notebook] SQL Generation for Log Analysis using Vertex AI
    ├── description-generation/
    │   ├── [Notebook] DescriptionGen: SEO-optimized product decription generation for retail using LangChain 🦜🔗
    │   └── [Notebook] Product Description Generator From Image
    ├── document-qa/
    │   ├── [Notebook] Question answering with Documents using Document AI, Matching Engine, and PaLM
    │   ├── [Notebook] Question Answering with Documents using LangChain 🦜️🔗 and Vertex AI Matching Engine
    │   ├── [Notebook] Question Answering with Large Documents
    │   └── [Notebook] Question Answering with Large Documents using LangChain 🦜🔗
    └── document-summarization/
        ├── [Notebook] Summarization of Documents with Document AI
        ├── [Notebook] Text Summarization of Large Documents
        └── [Notebook] Text Summarization of Large Documents using LangChain 🦜🔗