#deployment

Embark on a journey from experimentation to production with machine learning. Learn to design, develop, and deploy ML applications with industry best practices. Join over 40,000 developers to enhance your skills in MLOps, scaling ML workloads, and creating CI/CD workflows. Suitable for developers, graduates, and leaders, this resource bridges academic knowledge with industry demands, offering a solid foundation in ML system development.

This unbiased guide explores open-source AI, from model evaluations to deployment insights. Engage with the community for updates and discussions, and explore dedicated Discord channels for collaboration without promotional language.

Chat Simplifier leverages GPT-3.5 Turbo and Vercel Edge functions to simplify chat content efficiently. After setting up your OpenAI API key, it can be run locally or deployed with one-click via Vercel, providing a customizable and intuitive interface for improved communication.

Chat LangChain is an AI-powered chatbot designed for precise question answering using LangChain documentation. This project incorporates LangChain and LangGraph for real-time functionality, and is deployed through LangGraph Cloud. It includes ingestion and question-answering components, processing documents into vector stores using embeddings. The app efficiently uses LLMs for generating responses and offers session tracking via trace URLs. Comprehensive documentation supports user modifications and various deployment scenarios.

GeekAI provides an open-source AI assistant solution centered on AI language model APIs with an integrated operations management backend. Key features encompass compatibility with OpenAI, Azure, ChatGLM, and more, as well as AI art capacities like MidJourney and Stable Diffusion. Other features include a seamless WebSocket typing experience, pre-trained character applications, multiple language model support, Suno's music-to-audio feature, and versatile AI drawing functionalities. Payment can be handled via personal WeChat QR codes or alternative methods. The platform includes a plugin API for developing additional functions and supports features such as Dall-E's art generation and thought mapping.

Explore an open-source AI chat platform designed for easy deployment and enhanced mobile compatibility. Experience the convenience of a hosted version or opt for local or cloud setup using Supabase. Perfect for developers and tech enthusiasts, this project offers straightforward customization with comprehensive guidance on backend integration and environment setup. Join community discussions to stay updated with recent improvements and contribute to ongoing innovation.

This project presents a web interface for ChatGPT using Access Tokens, removing the need for OpenAI API quotas. The platform includes Markdown support, a responsive interface, and privacy-centric data management. Supporting GPT-3.5 and GPT-4 models, it integrates backend services from the pandoranext project. Benefits include cost-efficiency and local deployment without overseas hosting. Key features include extensive prompt lists, role presets, and multilingual support. Docker simplifies deployment, offering flexibility through either account credentials or access tokens.

OpenAI-Gemini is a solution providing a serverless, OpenAI-compatible API endpoint available for free. It requires a Google API key for deployment on platforms like Vercel, Netlify, or Cloudflare. This project removes the need for server maintenance by utilizing easy cloud deployment. Step-by-step instructions are available, including 'button-deploy' methods for continuous integration. Users must adjust specific API settings in their software, supporting models like 'gemini-1.5-pro'. It's ideal for developing serverless backend solutions without direct browser access, especially for applications with deep OpenAI integration.

This library facilitates integration with Hugging Face models and optimizes deployment using quantization algorithms. Notable features include support for safetensors-based formats and compatibility with large models through accelerate. It offers a variety of quantization options like W8A8, Mixed Precision, and SparseGPT. Algorithms such as SmoothQuant and GPTQ are readily applicable for activating and weighting. Discover comprehensive examples and user guides for rapid model deployment and execution using llmcompressor with vllm, promoting swift inference and model efficiency.

Truss provides an efficient way to deploy AI/ML models in production, allowing for model packaging and testing across frameworks without complex configurations. Supporting major Python frameworks like Transformers, PyTorch, and TensorFlow, it offers a fast development cycle with live reload capabilities. Integration with Baseten enables effective model hosting, easing the deployment process. Examples are available for models such as Llama 2, Stable Diffusion XL, and Whisper. Truss simplifies model serving, offering scalable deployment solutions.

Easily deploy a customized AutoGPT-Next-Web application in minutes with Vercel, featuring enhanced local language support and a responsive interface similar to AgentGPT. With options for Docker and Azure OpenAI API integration, along with secure access controls, this platform is ideal for creating a personalized 'AutoGPT' site. Explore commercial version features through community engagement.

ChatGPT Lite is a customizable web interface developed with Next.js. It is compatible with OpenAI and Azure OpenAI accounts, supporting markdown, prompt storage, and multi-user chats. This platform enables private AI interactions without needing to share API keys and serves as a beginner-friendly codebase ideal for Next.js AI projects. Easily deploy it on Vercel or using Docker for secure and private web-based AI communication.

Utilize advanced AI models like GPT-4, DALL·E, and Whisper to enhance team efficiency. The platform supports varied deployment methods, including Serverless and Docker, ensuring reliable AI interactions and creative image generation. Benefit from cost-effective AI resource enhancement, secure SaaS, private deployments, and an intuitive admin panel for safe management. Discover features such as multi-topic dialogues, AI-powered image interpretation, and rapid data analysis to improve communication and business processes.

Discover a comprehensive demo utilizing OpenAI GPT-3.5 Turbo API, featuring multi-chat and image generation. Easily deploy with Vercel, Netlify, Docker, and Sealos. Setup requires Node v18, PNPM, and an OpenAI API key. Access detailed guides for environment settings and deployment.

Explore a versatile open-source platform with tools for prompt engineering, evaluation, and deployment of LLM applications. It facilitates team collaboration, prompt experimentation, human annotation collection, and one-click application deployment. Compatible with any LLM workflow and integrates with frameworks such as Langchain and LlamaIndex. Boost productivity with user-friendly management tools and connect with an active community. Access comprehensive documentation and enterprise support, and participate in the platform's continuous evolution.

Qualcomm AI Hub Models offer machine learning solutions optimized for vision, speech, text, and generative AI applications on Qualcomm devices. Models are available through Hugging Face, with open-source deployment recipes and performance metrics across diverse Snapdragon devices. Compatible with Android, Windows, and Linux, these models support various precision levels and computing units, including CPU, GPU, and Hexagon DSP. Easily installable Python packages facilitate on-device and cloud-hosted deployments on different operating systems.

This open-source project aimed to enhance YouTube video summarization by leveraging OpenAI's technology. Although further development ceased due to API access limitations, individuals can still deploy the server by substituting the 'bys.mthli.com' domain. Developed primarily on macOS, the server is designed for deployment on Debian GNU/Linux 11. Key components required include Redis, Python3, pyenv, pipenv, NGINX, Certbot, Node, and pm2. Licensed under the GNU AGPL, the project provides detailed guidance on configuring the necessary architecture for an efficient summarization server setup.

Firebase CLI provides robust command line tools for managing and deploying Firebase projects from the terminal. It supports code deployment, local server hosting, database interaction, user management, and cloud function deployment, making it an invaluable resource for developers. The CLI is compatible with diverse authentication methods and integrates smoothly with CI systems. Easy installation via npm or standalone download grants users efficient access to Firebase functionalities.