Models
Articles¶
Theory¶
| Article | Description |
|---|---|
| OpenAI Academy | A collection of resources for learning about AI, including courses, tutorials, and articles |
| Claude Code: Best practices for agentic coding | A blog post covering tips and tricks that have proven effective for using Claude Code across various codebases, languages, and environments |
Defense¶
| Article | Description |
|---|---|
| Principles for coding securely with LLMs | LLMs sometimes act maliciously, so you must treat LLM output like user input. |
Prompt Engineering¶
| Link | Description |
|---|---|
| Brex's Prompt Engineering Guide | |
| A Beginner's Guide to Prompt Engineering with GitHub Copilot | |
| Prompt Engineering Guide | See also Adversarial Prompting |
| Claude 4 prompt engineering best practices | This guide provides specific prompt engineering techniques for Claude 4 models to help you achieve optimal results in your applications |
| How Anthropic teams use Claude Code | Insights on how different departments leverage Claude Code, its impact on their work, and tips for other organizations considering adoption |
Tools¶
Models & Platforms¶
| Link | Description |
|---|---|
| Ollama | A platform for running local LLMs on your own hardware |
| huggingface | An open-source community out there training AI models for many different tasks |
| Open Source Models |
Development¶
| Link | Description |
|---|---|
| Google Cloud Generative AI | This repository contains notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage generative AI workflows using Generative AI on Google Cloud, powered by Vertex AI |
| Poking around OpenAI | A script that converts all of my writing into embeddings, tokenizes the user-supplied prompt to identify relevant sections of my content to inject into an expanded prompt, and sent that expanded prompt to OpenAI AI's API |
| Introducing AutoRAG |
|
| Transform Years of Content Into a Conversational Knowledge Base | How to make your content interactive by building a conversational knowledge base. A practical walkthrough using CloudSecList, LLMs, and Cloudflare Workers |
| How to build a ChatGPT plugin with Cloudflare Workers |
Security¶
| Link | Description |
|---|---|
| aws-ml-opt-out | A Terraform module that makes it a snap to opt out of all AWS AI/ML data harvesting |
| PyRIT |
|
| garak | Garak checks if an LLM can be made to fail in a way we don't want. |
| secure-rules-files | Baseline rules files to improve the security of AI-generated code (Claude, Cursor, Copilot + more) |
| augustus | LLM security testing framework for detecting prompt injection, jailbreaks, and adversarial attacks |
Local GPTs¶
| Link | Description |
|---|---|
| 50+ Open-Source Options for Running LLMs Locally |
|
| awesome-local-llms | Compare open-source local LLM inference projects by their metrics to assess popularity and activeness. |
| gpt4all | Run Local LLMs on Any Device |
| LM Studio | Discover, download, and run local LLMs |
| goose | An open-source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM |
| PrivateGPT | Ask questions about your documents |
| LocalGPT | Converse with your documents without compromising your privacy |
| Danswer | Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge |