Recommended Resources

Books, hardware, and tools we genuinely recommend for anyone working with or learning about AI. Every item here has been read, used, or thoroughly researched by our team.

🧠AI Books β€” Technical & Advanced

Deep dives into machine learning, LLMs, and production AI systems for practitioners.

Designing Machine Learning Systems

Chip Huyen β€” production ML system design from data to deployment

AI Engineering: Building Applications with Foundation Models

Chip Huyen β€” building real applications on top of LLMs and foundation models

Build a Large Language Model (From Scratch)

Sebastian Raschka β€” understand LLMs by building one step by step

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow

AurΓ©lien GΓ©ron β€” the definitive practical ML textbook

Natural Language Processing with Transformers

Building language applications with Hugging Face β€” Lewis Tunstall et al.

Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play

David Foster β€” practical guide to building generative AI models

Artificial Intelligence: A Modern Approach (4th Edition)

Russell & Norvig β€” the definitive AI textbook used in university courses worldwide

Deep Learning (Adaptive Computation and Machine Learning)

Goodfellow, Bengio, Courville β€” the foundational deep learning textbook

πŸ“–AI Books β€” Getting Started

Accessible introductions to artificial intelligence for anyone curious about the field.

Co-Intelligence: Living and Working with AI

Ethan Mollick on how to work alongside AI systems effectively

The Coming Wave: Technology, Power, and the 21st Century

Mustafa Suleyman on AI risks and the future of technology

The Art of Prompt Engineering with ChatGPT

Practical techniques for getting better results from LLMs

πŸ“ˆAI Books β€” Business & Strategy

How AI is reshaping industries and what it means for decision-makers.

The AI Revolution in Medicine: GPT-4 and Beyond

Peter Lee, Carey Goldberg, Isaac Kohane on AI transforming healthcare

βš–οΈAI Books β€” Ethics & Safety

Understanding the risks, biases, and alignment challenges of AI systems.

The Alignment Problem: Machine Learning and Human Values

Brian Christian on the challenge of aligning AI with human intentions

Weapons of Math Destruction

Cathy O'Neil on how algorithms can increase inequality

πŸ–₯️GPUs for AI

Graphics cards for running local models, training, and inference.

NVIDIA GeForce RTX 4090

Top consumer GPU for local AI β€” 24GB VRAM, Ada Lovelace architecture

NVIDIA GeForce RTX 5090

Next-gen flagship GPU β€” 32GB GDDR7, Blackwell architecture

NVIDIA GeForce RTX 4060 Ti 16GB

Best value GPU for local AI experimentation β€” 16GB VRAM

βš™οΈDeveloper Hardware

Machines and boards for AI development and experimentation.

NVIDIA Jetson Orin Nano Super Developer Kit

Compact edge AI computer β€” run generative AI models locally on a small device

Apple Mac Studio (M4 Max)

Unified memory architecture ideal for running local LLMs on macOS

NVIDIA Jetson AGX Orin Developer Kit

275 TOPS AI performance for prototyping autonomous machines and robots

Raspberry Pi 5 (8GB)

Affordable edge AI experimentation platform

⌨️Developer Peripherals

Monitors, keyboards, and gear for a productive dev setup.

Elgato Stream Deck MK.2

15 macro keys for workflow automation β€” now with AI/MCP integration

LG 32UN880-B 32" 4K UltraFine Ergo Monitor

4K IPS monitor with ergonomic arm β€” great for coding and research

Logitech MX Brio 4K Webcam

4K webcam with auto light correction β€” ideal for AI video calls and streaming

Amazon Echo Show 8 (4th Gen)

Smart display with Alexa+ AI assistant β€” voice-controlled smart home hub

Keychron Q1 Pro Mechanical Keyboard

Premium wireless mechanical keyboard for developers

Elgato Stream Deck Neo

Compact 8-key controller for AI workflow shortcuts and automation

Have a suggestion?

Know a great AI book or tool we should add? Drop us a line at hello@todayinai.blog.