This repository is your one-stop shop for exploring the power of Large Language Models (LLMs) on Google Cloud. We've curated a collection of practical examples that showcase how to leverage Google's cutting-edge AI services for a variety of tasks.
- Gemini Examples: Get hands-on with Google's Gemini family of LLMs, known for their advanced capabilities in text, code, and multimodal understanding.
- Text Generation: Learn how to generate creative text formats like poems, code, scripts, musical pieces, emails, and more.
- Multimodal Prompts: Explore the exciting world of multimodal prompts, combining images and text to unlock new creative possibilities.
- Langchain Integration: Discover how to seamlessly integrate Google's Generative AI API with LangChain, a powerful framework for building complex AI applications.
- Embeddings and Search: Master the art of creating embeddings, vector representations of text, for tasks like similarity search and information retrieval.
- Firestore Integration: Learn how to store and retrieve embeddings efficiently using Google Cloud Firestore, a NoSQL database.
- LLM Reflection: Delve into the fascinating concept of LLM reflection, where LLMs can analyze and improve their own outputs.
- Install dependencies:
poetry install- Set up environment variables:
Create a .env file in the root directory of the project. Add the following environment variables to the .env file:
GOOGLE_APPLICATION_CREDENTIALS=<path/to/your/credentials.json>
Use a GOOGLE_API_KEY as a environment variable. This can be generated in AI STUDIO
- Run the examples:
Navigate to the directory containing the example you want to run. Run the Python script using
poetry run python <script_name.py>.
This repository is designed to be a learning resource and a springboard for your own LLM projects. Feel free to experiment, modify the examples, and build your own innovative applications using Google Cloud's powerful AI tools.
Made with ❤ by jggomez.
Copyright 2024 Juan Guillermo Gómez
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
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http://www.apache.org/licenses/LICENSE-2.0
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