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This repository offers a ready-to-use, Azure-based lab for exploring Windows Server 2025 features in a mixed-mode domain environment.
Pretty PowerShell that looks good and functions almost as good as Linux terminal
Sample code illustrating the VS Code extension API.
A basic "Hello world" Copilot Extension example that talks like Blackbeard the pirate
Generative AI extensions for onnxruntime
Exam AZ-104: Microsoft Azure Administrator Crash Course
📚 Personal collection of ChatGPT prompts for developers!
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Collection of leaked system prompts
A library for helping developers craft prompts for Large Language Models
A module that provides tools for other modules and scripts
This repository will help you to learn about databricks concept with the help of examples. It will include all the important topics which we need in our real life experience as a data engineer. We …
Jobs_Applier_AI_Agent_AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
Tool to visualize the Copilot metrics provided via the Copilot Business Metrics API (current in public beta)
📖 The user manual for GitHub Copilot Workspace
Guideline of best practices to follow to configure Github Enterprise Cloud in a secure way.
Source code for creating a simple timeline in React. Used in my Youtube tutorial found here:
🦜🔗 Build context-aware reasoning applications
fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
A collection of open source, actively maintained web apps for LLM applications
A web-app to explore topics using LLM (less typing and more clicks)
An easy to use on-screen annotation software inspired by Epic Pen.
[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
Generate polished résumés and CVs in HTML, Markdown, LaTeX, MS Word, PDF, plain text, JSON, XML, YAML, smoke signal, and carrier pigeon.