Log InLog InAI 1001
AI 1001 ·middot; Six modules · 12 tutorials
A practical introduction to generative AI — how it works, how to use it effectively, and how to use it responsibly. From understanding what a large language model actually does, through prompt engineering and research workflows, to AI agents, automation and the ethical questions that responsible use demands. Drawing on the foundational research of Hinton, Sutskever, Hassabis, LeCun, Bengio and Minsky.
Drawing on the research of Geoffrey Hinton in deep learning and neural networks
What generative AI is and how large language models work · the transformer architecture · training, fine-tuning and RLHF · the model landscape (GPT, Claude, Gemini, DeepSeek) · open-source vs closed-source · multimodal AI · the AGI question · AI safety and alignment.
Open module →Drawing on the research of Ilya Sutskever in language model training
Prompt frameworks (4-step, outcome-first, chain-of-thought) · context design · few-shot prompting · constraints that control quality (format, tone, length) · the iteration loop · prompt chaining · structured output · evaluating quality.
Open module →Drawing on the research methodology of Demis Hassabis and the DeepMind approach
Market analysis and competitive research · document processing and summarisation · deep research and multi-source synthesis · verification and fact-checking · why AI hallucinations are inevitable · building a verification workflow.
Open module →Drawing on the research of Yann LeCun in self-supervised learning and multimodal AI
AI as writing partner · ideation, outlining, drafting and editing · adapting tone and register · image generation · audio and video tools · presentations · copyright and ethics of AI-generated content · building creative workflows.
Open module →Hosted by the Marvin Minsky Simulacrum
What an AI agent is · observation-reasoning-action loops · tool use and function calling · agent architectures · browser automation · workflow automation (triggers, actions, conditions) · error handling · the delegation framework.
Open module →Drawing on the research and safety advocacy of Yoshua Bengio
AI in business operations, marketing and product development · measuring ROI · data privacy and GDPR · bias in AI systems · intellectual property · job displacement vs transformation · building an ethical AI policy.
Open module →