Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
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Updated
Nov 8, 2024 - Jupyter Notebook
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]
TeleChat: 🤖️ an AI chat Telegram bot can Web Search Powered by GPT-3.5/4/4 Turbo/4o, DALL·E 3, Groq, Gemini 1.5 Pro/Flash and the official Claude2.1/3/3.5 API using Python on Zeabur, fly.io and Replit.
Sample code and notes for my GCP courses on LinkedIn Learning
This repository compiles code samples and notebooks demonstrating how to use Generative AI on Google Cloud Vertex AI.
An end-to-end example of MLOps on Google Cloud using TensorFlow, TFX, and Vertex AI
Transformers 3rd Edition
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 examples of their use in crafting marketing materials like blog posts and social media content, nl2sql analysis, and campaign personalization.
Ship RAG based LLM web apps in seconds.
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud
A NodeJS RAG framework to easily work with LLMs and embeddings
Build MLOps Pipelines in Minutes
Looker extension designed to give business users access to BigQuery and Vertex AI's machine learning capabilities.
AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.
Optimise Shopping feeds with Generative AI
Basic UI to chat with Google Gemini AI
A Ruby Gem for interacting with Gemini through Vertex AI, Generative Language API, or AI Studio, Google's generative AI services.
🌴 Drop-in replacement REST API for Vertex AI (PaLM 2, Codey, Gemini) that is compatible with the OpenAI API specifications
Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products
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