- tags
- Machine learning LLM, Meta-learning
In-context learning is the mechanism through which LLMs perform few-shot learning without gradient updates.
In-context learning
Links to this note
- Knowledge Base Index
- Notes on: Reinforcement Learning via Self-Distillation by Hübotter, J., Lübeck, F., Behric, L., Baumann, A., Bagatella, M., Marta, D., Hakimi, I., Shenfeld, I., Kleine Buening, T., Guestrin, C. & Krause, A. (2026)
- Notes on: Self-Distillation Enables Continual Learning by Idan Shenfeld, Mehul Damani, Jonas Hübotter, Pulkit Agrawal (2026)
- Notes on: Training Language Models via Neural Cellular Automata by Dan Lee, Seungwook Han, Akarsh Kumar, Pulkit Agrawal (2026)
- Spatial Reasoning
- Token-level credit assignment in reasoning traces
Last changed | authored by Hugo Cisneros
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