AI Learning & Guides

This online book teaches neural networks and deep learning through explanations and exercises.

Tutor AI answers questions, explains concepts, and helps learners follow custom learning pathways at their own pace.

This illustrated article explains VQGAN and how it can generate high-resolution images from text.

Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.

This Lil’Log article explains prompt engineering methods for steering autoregressive language models.

Chip Huyen writes about AI system design and bringing AI applications into production.

This page outlines research on large language model-based multi-agent systems.

Animated AI creates animations and instructional videos about neural networks.

The Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.

Made With ML offers lessons on designing, developing, deploying, and improving production machine learning applications.

This timeline lists artificial intelligence milestones from 2022 to the present.

This Anthropic article explains approaches to building reliable AI agents, including capabilities and safety considerations.

This guide presents examples of large language models, training, and business adoption.

R-bloggers collects R news and tutorials written by bloggers from across the community.

Shiken offers AI coaching, roleplay, and meeting recording for professionals, turning calls and documents into learning materials.

Weka 3 provides open source machine learning and data mining software written in Java.

Free online machine learning calculators. Input your dataset and watch algorithms like K-Means, Minimax, and KNN get solved step-by-step for CS exams.

Machine Learning Mastery shares guidance for developers learning to apply machine learning.

Build Club brings people together to learn AI and build projects in a shared community.

MLU-Explain provides visual explanations of machine learning concepts through educational materials.

Pinecone’s learning center provides materials about vector search and its AI knowledge platform.

FinetuneDB explains current practices for evaluating large language model outputs and structuring the evaluation process.

This handbook discusses how to build AI agents for software developers.

This Clay University lesson explains using Claygent for go-to-market automation.