checkpoint

Definition

A saved snapshot of a model's state during training, so you can stop and resume or compare versions later.

A serialized copy of model parameters (and often optimizer state) at a particular training step, used for resumption, ablation, or model comparison.

Also called: checkpoints

Mentioned in 11 episodes

1. 090
   How MiniMax-M2 Bets That Sparsity Plus Verifiable Rewards Can Match Frontier Agents
2. 084
   Terminal Agents Get Free Supervision From The Tokens We've Been Throwing Away
3. 081
   When Reasoning Models Decide Before They Think: Detecting and Fixing Premature Confidence
4. 075
   Growing Code and Proof Together: Verified Systems in Ten Hours Instead of a Year
5. 069
   When Smarter Models Forecast Worse: The Hidden Failure Mode in LLM Predictions
6. 068
   The OS Trick That Makes Tree Search Practical for Coding Agents
7. 064
   When Agent Memory Stops Being a Database and Starts Being a Skill
8. 052
   An Old Reinforcement Learning Tradeoff Sneaks Back Into LLM Agents
9. 047
   When Agent Benchmarks Lie: The Harness Problem in Open-Source AI
10. 019
    When the Best Reward Model Trains the Worst Policy: Inside EvoLM
11. 008
    Why Long-Horizon AI Agents Get Stuck, and a Milestone-Based Fix That Helps

Related concepts