Study packs
Start from what worked for someone else.
A pack is a study session someone shared: their sources, plan and highlights. Copy one and Confu fetches everything into your library, with a plan that starts today.
Share your own from any session: the Share button next to its title. Plans shared as a path are also on Roadmaps.
Or start from a template
Goals with free sources, ready to go
- Neural networks from scratchFrom a single neuron to backpropagation you could code yourself.
- Transformers and large language modelsHow ChatGPT-style models work, down to attention and a GPT you build yourself.
- Reinforcement learning, from basics to PPOAgents, rewards and policies, up to the algorithm behind RLHF.
- Linear algebra, the visual wayVectors, matrices and eigenvectors you can actually picture.
- The essence of calculusDerivatives and integrals as ideas, not just rules.
- Machine learning foundationsRegression, classification and how models generalise.
- Learn PythonFrom zero to writing your own small programs.
- Algorithms and data structuresThe interview and exam staples, understood rather than memorised.
- Ten landmark AI papersThe papers modern AI is built on, read the researcher's way.
- Quantum computing for the curiousQubits, gates and circuits, without a physics degree.
- The science of learningHow memory works, and how to study so things stick.
- Electric charges and fieldsCharge, Coulomb's law, fields and dipoles, from an open textbook.
- Gauss's lawFlux, symmetry, and the field of a sphere and a line.
- Electric potentialPotential energy, potential, and the potential of a point charge.
- CapacitanceCapacitors, series and parallel, energy, and a dielectric.