JavaScript client library for managing your LLM data in one place
-
Updated
May 3, 2023 - JavaScript
JavaScript client library for managing your LLM data in one place
Web extension that embeds LLMs in your browser to power AI in web apps
⚡️ Transform AI/ML operations: Transparency, Control and Cost Optimization. ⚡️
Elevate your fashion shopping experience with the Conversational Fashion Outfit Generator – a cutting-edge addition to the Flipkart ecosystem. Seamlessly integrated into the platform, our AI-powered system redefines the way you discover, create, and personalize fashion outfits.
Official NodeJS library for monitoring LLM Applications with Doku
This plugin for connect to AI/ML LLM models by API
Documentation for Promptly platform
A full-stack tool to reduce bias among employees in financial services
A comprehensive set of LLM benchmark scores and provider prices. (deprecated, read more in README)
An MCP (Model Context Protocol) server that enables LLMs like Claude Desktop to perform web searches. Supports multiple providers (Google, Brave, Tavily) to give AI agents real-time access to the internet. Connect your LLMs to the web. An MCP server implementation for real-time web search capabilities.
Automatic Langfuse tracking for Claude Code
Landscape of technologies and concepts for DevOps and its related fields, with their history; A mirror of https://gitlab.com/jimyoshida/dx-devops-landscape
Streamline your workflow with Lynkr, a CLI tool that acts as an HTTP proxy for efficient code interactions using Claude Code CLI.
A comprehensive toolkit for deploying production-ready Generative AI infrastructure on Amazon EKS. Includes pre-configured components for: 🚀 AI Gateway (LiteLLM) 🤖 LLM Serving (vLLM, SGLang, Ollama) 📊 Vector Databases, 🔍 Embedding Models (TEI) 📈 Observability (Langfuse, Phoenix) etc. Fast-track your GenAI deployment with Kubernetes
🤖 Build engaging AI chat experiences with Ultralytics LLM, a lightweight JavaScript client for web applications, delivered via jsDelivr with zero dependencies.
🧠 Monitor web app performance and detect anomalies with AI-driven insights, capturing key events and generating detailed incident reports.
📚 Formalize Kakeya sets in finite fields with Lean 4, establishing lower bounds on their size and advancing mathematical understanding in a structured way.
Add a description, image, and links to the llmops topic page so that developers can more easily learn about it.
To associate your repository with the llmops topic, visit your repo's landing page and select "manage topics."