Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

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

Ship RAG based LLM web apps in seconds.

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.

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

⚡ Edgen: Local, private GenAI server alternative to OpenAI. No GPU required. Run AI models locally: LLMs (Llama2, Mistral, Mixtral...), Speech-to-text (whisper) and many others.

Transformers 3rd Edition

A NodeJS RAG framework to easily work with LLMs and embeddings

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.

Framework to bring LLM applications to production

Sample code and notes for my GCP courses on LinkedIn Learning

Build MLOps Pipelines in Minutes

Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud

Optimise Shopping feeds with Generative AI

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

A Ruby Gem for interacting with Gemini through Vertex AI, Generative Language API, or AI Studio, Google's generative AI services.

Machine Learning Pipeline for Semantic Segmentation with TensorFlow Extended (TFX) and various GCP products

🌴 Drop-in replacement REST API for Vertex AI (PaLM 2, Codey, Gemini) that is compatible with the OpenAI API specifications

Python library that allows you to get structured responses in the form of Pydantic models and Python types from Anthropic, Google Vertex AI and OpenAI models