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🧭 About Me
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.