
How to Build a Memory Your AI Agents Can Actually Reuse
The useful part is not giving agents more context. It is making your research, notes, and sources available again in the next session.
AI engineering, explained clearly
Making AI Accessible. Co-founder at Towards AI. Ex-PhD at Mila. Practical articles, videos, courses, and training for people building with modern AI.

Guides and roadmaps from beginner to AI engineer.
Read ArticlesPractical AI explainers, agent engineering, RAG, and model news.
Watch VideosAI concepts explained visually on What's AI.
Work TogetherTraining, consulting, and talent solutions for teams adopting AI.
Join CommunityLearn with thousands of builders in the Discord community.
Featured writing

The useful part is not giving agents more context. It is making your research, notes, and sources available again in the next session.

Model choice is not only about benchmark scores. It is also about what behavior the model inherited.


Topic hubs
Practical writing on AI agents, workflows, memory, tool use, reliability, and what actually ships.
Large Language ModelsClear explanations of LLMs, reasoning models, prompting, context, distillation, fine-tuning, and model behavior.
RAG and RetrievalGuides and explainers on retrieval augmented generation, vector databases, embeddings, indexing, and evaluation.
AI EngineeringRoadmaps, architecture decisions, evals, deployment lessons, and practical AI engineering advice.
Computer VisionComputer vision explainers on image generation, segmentation, 3D reconstruction, video, and visual AI research.
Generative AIHow generative AI models create images, video, audio, code, and text, without the hype fog.
Learning paths
A practical free guide to building real AI systems in 2026.
Build a Career in AI EngineeringA structured course path for people who want AI engineering to become their job, not just a side curiosity.
Start AI From ZeroA beginner-friendly roadmap from no background to serious AI fluency.
From Zero to Hero With LLMsA focused path for understanding and building with language models.
Latest articles

The real process behind Midjourney, Gemini, FLUX, and ChatGPT


Everyone Laughed at Gemini. Now It’s Everywhere.

Self-Improving AI Is No Longer Theory

US AI Labs Accused China of Stealing

The guardrails, audits, and human review loops that actually work

The clearest way to understand the difference between prompt engineering, context engineering, and harnesses

Are You Actually Changing the Model, or Just Giving It Context?
Allow optional usage analytics to help improve the site. Privacy details