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Weights & Biases

Verified account CoreWeave

@wandb

Experiment tracking and hyperparameter sweeps for AI researchers and engineers, by @CoreWeave. Part of CoreWeave Forge.
San Francisco wandb.ai/site Joined May 2018
1.3K Following 49K Followers 9K Posts

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Weights & Biases Verified account @wandb
Introducing W&B Skills for coding agents!

Watch us install the skill, point it at a live fine-tuning project with thousands of traces and RL training runs, then query it all from the terminal in seconds.

Also works with @weave_wb to pull in your agent traces and spot failures.
3:17
10 replies 32 reposts 467 likes 277K views View on X
Weights & Biases Verified account @wandb
@TheCodingSoup wanted to see how AI agents talk to each other when they work as a team.

So he gave a swarm a shared memory and let them do their thing inside of a @CoreWeave Sandbox. They wrote 12 notes. Not one got read by another agent. (Every agent was traced in Agent Lens, so we could check.)

The next run changed the timing: leads shared plans before starting, and each new agent got the relevant notes with its task. No duplicated experiments that time.

Try out Agent Lens bit.ly/4z4ELRf
0:54
4 replies 2 reposts 6 likes 1.4K views View on X
Weights & Biases Verified account @wandb
Karpathy got annoyed with YouTube recs and built HackerTube in a weekend. Yours was probably manually lining up logged images to check a single detection.

New in Weights & Biases Models: zoom or pan one image and the rest follow at the same zoom level and position. Bounding boxes, masks, and class labels move with their images.

It's on by default, so the cropped screenshots can retire. crwv.co/uurrz
1 replies 2 reposts 13 likes 2.3K views View on X
Weights & Biases Verified account @wandb
wandb 0.31.0 is out now, and import wandb and the CLI start about twice as fast.

That's for builders like @Vanzllll, whose DiffusionART team "found some surprising answers" after nearly 800 wandb runs.

Now find yours.

It also grows W&B LEET, the terminal UI for exploring W&B runs. wandb leet inspect --summary reads a run's local .wandb file, and --json prints that as JSON for a coding agent.

pip install -U wandb
4 replies 4 reposts 26 likes 7.1K views View on X
Weights & Biases Verified account @wandb
iPhone Duo is out today, and Weights & Biases Models already supports 2-fold validation 📲

Folded, the cover screen tells you the run is still alive.

Unfold it, and your runs sit next to your panels on the big inner screen.

Hide a run, and every chart redraws right away, making the one that spiked much easier to find.

The app is free and ready for your Duo on day one. crwv.co/ut17n