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PhiCookBook is a comprehensive repository of cookbooks containing practical examples, tutorials, and documentation for working with Microsoft's Phi family of Small Language Models (SLMs). The repository showcases various use cases, including inference, fine-tuning, quantization, RAG implementations,
This appears to be a transcript of a presentation on AI trends, specifically focusing on agentic workflows, visual AI, and large language models. The speaker discusses several key points, including:
- **Category**: Feature
- **Type**: Persons
You should:
This document shows how to build up a complete code review system using the simple tools specification and markdown-based agents.
generic skill
Translate all agent files from Claude Code's get-shit-done system to OpenCode format.
Progressive Web App for The Blue Alliance, a data archive site for the FIRST Robotics Competition, built with TanStack Start / Router, TypeScript, and Tailwind CSS.
In this lab, you are going to understand how to create agents in Microsoft Copilot Studio that can communicate with other agents. You'll build a specialized Interview Scheduler agent that consumes data from the HR Candidate Management agent created in previous labs. The Interview Scheduler agent wil
This file provides instructions for AI coding assistants (like Claude Code, GitHub Copilot, etc.) working with students in this course.
This target provides benchmark tooling for CLI workflows.
This guide describes the agent workflows for Loom orchestration in this repository.
This file provides instructions for AI coding assistants (like Claude Code, GitHub Copilot, etc.) working with students in this course.
When generating commit messages for this repository, follow the **Clean Commit** workflow.
When generating commit messages for this repository, follow the **Clean Commit** workflow.
When generating commit messages for this repository, follow the **Clean Commit** workflow.
When generating commit messages for this repository, follow the **Clean Commit** workflow.
This repository contains example scripts and an agentic research framework for the [Numerai data science tournaments](https://numer.ai/). AI coding agents can use this file to understand how to help with Numerai-related tasks.
<title>Cloudflare Workers Monorepo Guidelines for AmpCode</title>
This guide covers best practices for building environments with `verifiers` and using them to train and evaluate LLMs. It is downloaded automatically using the setup script below (which has likely already been run if you're reading this). See `environments/AGENTS.md` for more details.
This guide covers best practices for building environments with `verifiers` and using them to train and evaluate LLMs. It is downloaded automatically using the setup script below (which has likely already been run if you're reading this). See `environments/AGENTS.md` for more details.
- **Do** match the interpreter requirement declared in `pyproject.toml` (Python ≥ 3.12) and install `requirements.txt` plus `requirements-dev.txt` before running tools.
This guide covers best practices for building environments with `verifiers` and using them to train and evaluate LLMs. It is downloaded automatically using the setup script below (which has likely already been run if you're reading this). See `environments/AGENTS.md` for more details.