Pavneet

@pavneeta · User

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@TogetherAIToronto9 followers52 repositories

Repositories

pavneeta/hallmark

Anti-AI-slop design skill for Claude Code, Cursor, and Codex.

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pavneeta/skypilot

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

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pavneeta/awesome-llm-apps

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

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pavneeta/NVSentinel

NVSentinel is a cross-platform fault remediation service designed to rapidly remediate runtime node-level issues in GPU-accelerated computing environments

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pavneeta/holmesgpt

Your 24/7 On-Call AI Agent - Solve Alerts Faster with Automatic Correlations, Investigations, and More

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pavneeta/mcp-konnect

A Model Context Protocol (MCP) server for interacting with Kong Konnect APIs, allowing AI assistants to query and analyze Kong Gateway configurations, traffic, and analytics.

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pavneeta/copilot-cli

GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.

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pavneeta/kmcp

CLI tool and Kubernetes Controller for building, testing and deploying MCP servers

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pavneeta/vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

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pavneeta/aks-mcp

A Model Context Protocol (MCP) server that enables AI assistants to interact with AKS clusters. It serves as a bridge between AI tools (like Claude, Cursor, and GitHub Copilot) and AKS.

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pavneeta/ragflow

RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.

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pavneeta/agents-towards-production

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

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pavneeta/ag-ui

AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.

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pavneeta/transformerlab-app

Open Source Application for Advanced LLM Engineering: interact, train, fine-tune, and evaluate large language models on your own computer.

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