Monthly AI Guides
Each monthly guide turns one month of HowAIModelsWork.com articles into a connected plain-English learning route. Use this page when you want the big picture for a whole month.
AI model basics
Models, tokens, hallucinations, training data, context windows, fine-tuning, alignment, guardrails, reasoning and evaluation.
Read the January 2026 Monthly AI Guide →RAG, agents, vision and generative AI
RAG, embeddings, vector databases, function calling, AI agents, machine learning, vision models, image generation and AI music.
Read the February 2026 Monthly AI Guide →Transformers, attention and prompts
Tokens, transformers, attention, positional encoding, activation functions, prompts, retrieval, grounding, sampling, temperature and context behavior.
Read the March 2026 Monthly AI Guide →AI video, memory, speed and cost
AI video generation, long scenes, memory pressure, KV cache, quantization, mixture of experts, speed, cost and state.
Read the April 2026 Monthly AI Guide →AI assistants, code, files and review
AI assistants, uploaded files, code assistants, long code files, summaries, customer support, search reliability, workflows and human review.
Read the May 2026 Monthly AI Guide →Reasoning, agents, training data, local AI and voice
Reasoning models, chain-of-thought prompting, AI agents, multi-agent mistakes, training data, synthetic data, model collapse, on-device AI and speech-to-text.
Read the June 2026 Monthly AI Guide →Voice, vision, bias, training and scientific AI
July follows one connected path from generated voices and image representations to fairness, model training, evaluation and scientific validation. It helps readers ask what created an AI result and what evidence is still needed before trusting it.
Read the July 2026 Monthly AI Guide →Want a broader route instead of a month-by-month path? Use the AI Knowledge Hub to browse major learning areas, or open Featured AI Guides for deeper topic-based explanations.