> ## Documentation Index
> Fetch the complete documentation index at: https://docs.sentri.cloud/llms.txt
> Use this file to discover all available pages before exploring further.

# AI Resources & Starter Pack

A curated list of high-quality tools, communities, and guides.

Navigating the rapidly exploding world of Generative AI can be overwhelming. We have curated a list of the resources we use daily at Sentri Cloud to stay ahead of the curve. These links focus heavily on **Open Source**, **Self-Hosted**, and **Privacy-First** AI.

## **🛠️ The Core Stack (Tools We Deploy)**

These are the foundational tools we use in our Private AI deployments.

* [**<u>Ollama</u>**](https://ollama.com/)
  * *The "Docker for LLMs."* The easiest way to get up and running with large language models locally on macOS, Linux, and Windows.
* [**<u>n8n</u>**](https://n8n.io/)
  * *Workflow Automation.* A fair-code alternative to Zapier/Make that is incredibly powerful for chaining AI agents together.
* [**<u>Open WebUI (formerly Ollama WebUI)</u>**](https://docs.openwebui.com/)
  * *The Interface.* An extensible, self-hosted UI that mimics the ChatGPT experience but connects to your private models.

## **📚 Learning & Documentation**

* [**<u>LocalLlama Subreddit (r/LocalLLaMA)</u>**](https://www.reddit.com/r/LocalLLaMA/)
  * *The Community Hub.* The single best place for bleeding-edge discussions on hardware, model quantization, and fine-tuning.
* [**<u>DeepLearning.AI</u>**](http://DeepLearning.AI)**<u>[ Short Courses](https://www.deeplearning.ai/short-courses/)</u>**
  * *Free Education.* High-quality, 1-hour courses by Andrew Ng and industry partners (LangChain, Microsoft) on building with LLMs.
* [**<u>Hugging Face Models</u>**](https://huggingface.co/models)
  * *The "GitHub of AI."* Browse thousands of open-source models. Look for "GGUF" formats for easy local hosting.

## **🤖 Model Leaderboards & News**

* [**<u>LMSYS Chatbot Arena Leaderboard</u>**](https://www.google.com/search?q=https://chat.lmsys.org/%3Fleaderboard)
  * *Unbiased Rankings.* A crowdsourced benchmark platform to see which models (proprietary vs. open source) are currently performing best.
* [**<u>The AI Breakdown (Podcast/YouTube)</u>**](https://www.youtube.com/@TheAIBreakdown)
  * *Daily News.* Excellent, hype-free daily analysis of the biggest news in AI.
* [**<u>TLDR AI Newsletter</u>**](https://tldr.tech/ai)
  * *Daily Digest.* A quick, curated daily email summarizing new tools and research papers.

## **💻 Hardware for Self-Hosting**

* [**<u>Tim Dettmers' GPU Guide</u>**](https://timdettmers.com/2023/01/30/which-gpu-for-deep-learning/)
  * *Deep Dive.* The definitive technical guide on choosing GPUs for deep learning and inference.
* [**<u>Mac Studio for AI (Apple Silicon)</u>**](https://github.com/ggerganov/llama.cpp/discussions)
  * *Apple Silicon Focus.* Discussions on how Unified Memory (RAM) on Macs makes them surprisingly powerful for running large models locally.

## **🚀 Starter Prompts & Engineering**

* [**<u>Anthropic Prompt Library</u>**](https://www.google.com/search?q=https://docs.anthropic.com/en/prompt-library/library)
  * *Best Practices.* Even if you don't use Claude, their prompt engineering guides are industry-leading and applicable to Llama 3/Mistral.
* [**<u>Learn Prompting</u>**](https://learnprompting.org/)
  * *Comprehensive Course.* A free, open-source course on communicating effectively with AI.

*Found a dead link or have a suggestion? Let us know.*