Rust Solutions
▶️ Qompass AI Quick Start
curl -fSsL https://raw.githubusercontent.com/qompassai/rust/main/scripts/quickstart.sh | sh📄 We STRONGLY advise you read the script BEFORE running it 😉
#!/bin/sh # /qompassai/rust/scripts/quickstart.sh # Qompass AI Rust Quick Start # Copyright (C) 2025 Qompass AI, All rights reserved #################################################### set -eu IFS=' ' LOCAL_PREFIX="$HOME/.local" BIN_DIR="$LOCAL_PREFIX/bin" CONFIG_DIR="$HOME/.config/rust" DATA_DIR="$HOME/.local/sharerust" mkdir -p "$BIN_DIR" "$CONFIG_DIR" "$DATA_DIR" case ":$PATH:" in *":$BIN_DIR:"*) ;; *) PATH="$BIN_DIR:$PATH" ;; esac export PATH NEEDED_TOOLS="git curl tar make clang bash" MISSING="" for tool in $NEEDED_TOOLS; do if ! command -v "$tool" >/dev/null 2>&1; then if [ -x "/usr/bin/$tool" ]; then ln -sf "/usr/bin/$tool" "$BIN_DIR/$tool" echo " → Added symlink for $tool in $BIN_DIR (not originally in PATH)" else MISSING="$MISSING $tool" fi fi done if [ -n "$MISSING" ]; then echo "⚠ Warning: The following tools are missing (not installed or not symlinkable):$MISSING" echo "Please install them manually with your package manager to continue." exit 1 fi cat <"/tmp/rust_menu.$USER" 1 Rust Stable (x86_64/Linux) stable-x86_64-unknown-linux-gnu 2 Rust Nightly (x86_64/Linux) nightly-x86_64-unknown-linux-gnu 3 Rust Stable (aarch64/Linux) stable-aarch64-unknown-linux-gnu 4 Rust Stable for Mac (x86_64/macos) stable-aarch64-apple-darwin 5 Rust Nightly for Mac (aarch64/macos) nightly-aarch64-apple-darwin q Quit a All (Advanced) EOF printf '╭────────────────────────────────────────────╮\n' printf '│ Qompass AI · Rust Quick‑Start │\n' printf '╰────────────────────────────────────────────╯\n' printf ' © 2025 Qompass AI. All rights reserved \n\n' awk -F '\t' 'NF==3 {printf " %s) %s\n", $1, $2}' "/tmp/rust_menu.$USER" printf ' a) all (Advanced)\n' printf ' q) quit\n\n' printf "Choose toolchains to install [1]: " read -r choice [ -z "$choice" ] && choice="a" [ "$choice" = "q" ] && exit 0 VERSIONS="" if [ "$choice" = "a" ]; then VERSIONS=$(awk -F '\t' 'NF==3 {print $3}' "/tmp/rust_menu.$USER") else for sel in $choice; do SELVER=$(awk -F '\t' -v k="$sel" '$1 == k {print $3}' "/tmp/rust_menu.$USER") if [ -z "$SELVER" ]; then echo "Unknown option: $sel" rm -f "/tmp/rust_menu.$USER" exit 1 fi VERSIONS="$VERSIONS $SELVER" done fi OS="unknown" case "$(uname -s)" in Linux*) OS="linux" ;; Darwin*) OS="macos" ;; CYGWIN* | MINGW* | MSYS*) OS="windows" ;; esac echo "==> Detected OS: $OS" add_path_to_shell_rc() { rcfile=$1 line="export PATH=\"$BIN_DIR:\$PATH\"" if [ -f "$rcfile" ]; then if ! grep -Fxq "$line" "$rcfile"; then printf '\n# Added by Qompass AI Rust quickstart script\n%s\n' "$line" >>"$rcfile" echo " → Added PATH export to $rcfile" fi fi } if ! command -v rustup >/dev/null 2>&1; then echo "⚠ rustup not found. Installing rustup for $OS ..." case "$OS" in linux | macos) curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y PATH="$HOME/.cargo/bin:$PATH" export PATH add_path_to_shell_rc "$HOME/.bashrc" add_path_to_shell_rc "$HOME/.zshrc" add_path_to_shell_rc "$HOME/.profile" ;; windows) echo "❌ Automated rustup installation is not supported on Windows by this script." echo "➡ Please install it manually via https://rustup.rs/" rm -f "/tmp/rust_menu.$USER" exit 1 ;; *) echo "❌ Unknown OS. Cannot install rustup." rm -f "/tmp/rust_menu.$USER" exit 1 ;; esac else echo "✅ rustup found" fi COMPONENTS="cargo clippy rustfmt rust-src rust-docs rustc rust-analyzer llvm-tools-preview" TARGETS="x86_64-unknown-linux-musl x86_64-unknown-linux-gnu aarch64-unknown-linux-gnu aarch64-apple-darwin wasm32-wasi riscv64gc-unknown-linux-gnu aarch64-unknown-linux-rocm" CARGO_TOOLS="bacon bacon-ls bat cargo2nix crane cargo-zigbuild cross cargo-debugger cargo-lipo cargo-apk cargo-godot cargo-ndk maturin cargo-leptos cxxbridge-cmd flamegraph cargo-bloat cargo-udeps cargo-sweep nixpkgs-fmt" echo "==> Installing Rust toolchains..." for t in $VERSIONS; do echo " ▪ Installing $t" rustup toolchain install "$t" echo " Adding components to $t" for c in $COMPONENTS; do rustup component add "$c" --toolchain "$t" 2>/dev/null || true done done echo "==> Adding cross-compilation targets..." for t in $VERSIONS; do echo " ▪ Processing targets for $t" for tgt in $TARGETS; do rustup target add "$tgt" --toolchain "$t" 2>/dev/null || true done done echo "==> Installing popular cargo tools..." for tool in $CARGO_TOOLS; do echo " ▪ Installing $tool" cargo install "$tool" --locked --force 2>/dev/null || true done if ! command -v zig >/dev/null 2>&1; then cargo install zig --locked --force 2>/dev/null || true fi echo "✅ Rust cross-compilation environment setup complete!" echo "→ Please restart your terminal or run 'export PATH=\"$BIN_DIR:\$PATH\"' to update your PATH." rm -f "/tmp/rust_menu.$USER" exit 0
🧭 About Qompass AI
Matthew A. Porter
Former Intelligence Officer
Educator & Learner
DeepTech Founder & CEO
🔥 How Do I Support
🏛️ Qompass AI Pre-Seed Funding 2023-2025 🏆 Amount 📅 Date RJOS/Zimmer Biomet Research Grant $30,000 March 2024 Pathfinders Intern Program
View on LinkedIn$2,000 October 2024
🔐 Cryptocurrency Donations
Monero (XMR):
📋 Copy Address42HGspSFJQ4MjM5ZusAiKZj9JZWhfNgVraKb1eGCsHoC6QJqpo2ERCBZDhhKfByVjECernQ6KeZwFcnq8hVwTTnD8v4PzyHFunding helps us continue our research at the intersection of AI, healthcare, and education
Frequently Asked Questions
Q: How do you mitigate against bias?
TLDR - we do math to make AI ethically useful
A: We delineate between mathematical bias (MB) - a fundamental parameter in neural network equations - and algorithmic/social bias (ASB). While MB is optimized during model training through backpropagation, ASB requires careful consideration of data sources, model architecture, and deployment strategies. We implement attention mechanisms for improved input processing and use legal open-source data and secure web-search APIs to help mitigate ASB.
AAMC AI Guidelines | One way to align AI against ASB
AI Math at a glance
Forward Propagation Algorithm
$$ y = w_1x_1 + w_2x_2 + ... + w_nx_n + b $$
Where:
-
$y$ represents the model output -
$(x_1, x_2, ..., x_n)$ are input features -
$(w_1, w_2, ..., w_n)$ are feature weights -
$b$ is the bias term
Neural Network Activation
For neural networks, the bias term is incorporated before activation:
$$ z = \sum_{i=1}^{n} w_ix_i + b $$ $$ a = \sigma(z) $$
Where:
-
$z$ is the weighted sum plus bias -
$a$ is the activation output -
$\sigma$ is the activation function
Attention Mechanism- aka what makes the Transformer (The "T" in ChatGPT) powerful
The Attention mechanism equation is:
$$ \text{Attention}(Q, K, V) = \text{softmax}\left( \frac{QK^T}{\sqrt{d_k}} \right) V $$
Where:
-
$Q$ represents the Query matrix -
$K$ represents the Key matrix -
$V$ represents the Value matrix -
$d_k$ is the dimension of the key vectors -
$\text{softmax}(\cdot)$ normalizes scores to sum to 1
Q: Do I have to buy a Linux computer to use this? I don't have time for that!
A: No. You can run Linux and/or the tools we share alongside your existing operating system:
- Windows users can use Windows Subsystem for Linux WSL
- Mac users can use Homebrew
- The code-base instructions were developed with both beginners and advanced users in mind.
Q: Do you have to get a masters in AI?
A: Not if you don't want to. To get competent enough to get past ChatGPT dependence at least, you just need a computer and a beginning's mindset. Huggingface is a good place to start.
Q: What makes a "small" AI model?
A: AI models ~=10 billion(10B) parameters and below. For comparison, OpenAI's GPT4o contains approximately 200B parameters.
This project is licensed under the Apache License, Version 2.0.
Copyright 2025 Qompass AI.