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Artificial Intelligence

  1. Introduction
  2. Machine Learning
  3. Transformers Library
  4. LLMOps
  5. The MAD (ML/AI/Data) Landscape
  6. OpenAI
  7. Kubernetes and AI
  8. IaC Terraform and AI
  9. IaC CloudFormation and AI
  10. Programming
  11. Medical Imaging
  12. Computer Vision
  13. AIOps
  14. Other Tools
  15. Videos

Introduction

Machine Learning

Transformers Library

LLMOps

The MAD (ML/AI/Data) Landscape

OpenAI

Kubernetes and AI

IaC Terraform and AI

IaC CloudFormation and AI

Programming

Medical Imaging

Computer Vision

AIOps

Other Tools

  • Cerebras AI - Cerebras offers an AI platform with a free API providing access to various large language models like GPT OSS, Qwen, GLM, and Llama. The service boasts high request limits, fast inference, and options for cloud serving, dedicated scaling, and on-premise deployment. Their hardware, the Wafer-Scale Engine, is designed for ultra-fast AI workloads.
  • GitHub Copilot CLI for Beginners: Getting Started - A beginner’s guide to GitHub Copilot CLI, introducing its capabilities for bringing AI assistance directly into the terminal for faster workflow and code generation. Covers installation, authentication, and initial prompt usage.
  • Using Workspaces for AI Changes Across Multiple Repos - This article explores a workflow for using AI development tools, like GitHub Copilot, when changes span multiple repositories. It proposes creating feature-specific multi-root workspaces in IDEs (e.g., VS Code) to provide AI agents with comprehensive context across different codebases, improving efficiency compared to single-repo operations.
  • Awesome NotebookLM Slide Prompts - A curated collection of NotebookLM and Kael.im slide prompts, sourced from various creative platforms like WeChat, blogs, RED creators, and Twitter/X power users. These prompts are designed to be used with AI tools for generating presentations from documents, notes, and transcripts.
  • Tabularis: Open Source Desktop Client for Modern Databases with AI and MCP Integration - (Related to kubernetes-tools topic)
  • Skills for Real Engineers - A GitHub repository containing a collection of agent skills designed for real engineering tasks, focusing on composability, adaptability, and ease of use. These skills aim to assist in developing real applications by providing a more controlled and debuggable approach compared to other development methodologies.
  • Google Agents CLI 🌟 - The CLI and skills that turn any coding assistant into an expert at creating, evaluating, and deploying AI agents on Google Cloud. It integrates with Gemini CLI, Claude Code, and Codex.
  • Draw.io MCP for Diagram Generation: Why It’s Worth Using - (Related to cloud-arch-diagrams topic)
  • Claude Code Templates - A GitHub repository containing a CLI tool for configuring and monitoring Claude Code, a project potentially related to AI-driven code generation or assistance.
  • Quiz Grader - A GitHub repository containing a certification quiz application and question generator with prompt creator, designed to assist users in studying for technology certification exams through AI-generated practice questions.
  • Azure DevOps MCP Server Public Preview - This blog post announces the public preview of Azure DevOps MCP Server, a local tool that enhances AI assistants like GitHub Copilot by providing them with rich, real-time context from Azure DevOps environments. It enables AI to access and interact with work items, pull requests, test plans, builds, releases, and wiki pages, offering more tailored and accurate responses without data leaving the user’s system. The post includes an example of generating test cases from user stories and links to setup instructions.

  • Awesome MCP Servers - (Related to ai-agents-mcp topic)

  • github.com/jupyterlab/jupyter-ai A generative AI extension for JupyterLab

  • github.com/XingangPan/DragGAN Drag Your GAN: Interactive Point-based Manipulation on the Generative Image Manifold

Videos

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