What Generative AI Really Is
What generative AI really is: how models create text, images and audio, what they can and can't do, and where the technology is headed.
What generative AI really is: how models create text, images and audio, what they can and can't do, and where the technology is headed.
How reinforcement learning works — agents, rewards and policies — and how trial-and-error training drives game-playing AI and robotics.
How embeddings turn words and documents into vectors, and how vector search powers semantic search, recommendations and modern AI apps.
What RAG is and why it matters: how connecting an LLM to a knowledge base produces accurate, up-to-date answers with fewer hallucinations.
How computers learn to "see" — from pixels and filters to convolutional networks that recognise objects, faces and scenes in images.
What the EU Green Deal means for youth and SMEs — climate goals, green funding opportunities and how organisations can get involved.
What an Erasmus+ KA2 Cooperation Partnership is, who can apply and how strategic partnerships fund innovation across education and youth.
How large language models predict text, and the practical prompt-engineering techniques that get reliable, useful results from AI tools.
A clear, illustrated guide to how neural networks learn — from a single neuron and activation functions to forward passes, loss and the training loop.