wandb.ai “is for experiment tracking and metric visualization”. As observed in (Wang et al., 2025)‘s github repo (Sapient Intelligence, Singapore).
Important things to note from this:
- llmops — traces, evaluations, playground, agents, guardrails, monitors.
- mlops — experiments, sweeps (optimizing hyperparams), tables (explore and visualize data)
- platform features — explore hosted, OSS models, model & data registry, artifacts, reports, SDK, automations. (nb. a lot of this sounds like huggingface).
Wang, G., Li, J., Sun, Y., Chen, X., Liu, C., Wu, Y., Lu, M., Song, S., & Yadkori, Y. A. (2025). Hierarchical Reasoning Model. https://arxiv.org/abs/2506.21734