Reading List & Resources

A curated list of research papers, courses, and resources that have heavily influenced my journey in AI/ML and DevSecOps.

Machine Learning & AI

Foundational Papers

• Attention Is All You Need - The original Transformer paper by Vaswani et al.
• LoRA: Low-Rank Adaptation of Large Language Models - Parameter-efficient fine-tuning for LLMs.
• Direct Preference Optimization (DPO) - Aligning LLMs without RLHF.

Courses & Specializations

• Deep Learning Specialization (Coursera) - Andrew Ng’s comprehensive guide to neural networks.
• Fast.ai - Practical Deep Learning for Coders - A top-down approach to deep learning.

DevSecOps & Security

Key Resources

• OWASP Top 10 for LLM Applications - Crucial guidelines for securing AI applications.
• Mitre ATT&CK Framework - A globally-accessible knowledge base of adversary tactics and techniques.

Tools & Frameworks I Love

• FastAPI - For building high-performance APIs.
• Unsloth - 5x faster LLM fine-tuning.
• pgvector - Open-source vector similarity search for Postgres.

[!TIP] I frequently update this list with new discoveries. Check back for more!