Luca Corbucci
PLEASE, STOP LOGGING
YOUR EXPERIMENTS IN
A .TXT FILE
A quick Intro to Weights & Biases
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WHAT IS WANDB?
A platform for ML practitioners that can
help simplify the development, monitoring
and debugging of Machine Learning Models.
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WHAT IS WANDB?
A platform for developers and researchers that
can help simplify the development, monitoring
and debugging of your experiments
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WHAT IS WANDB?
These tools are open source and you can
self-host WANDB on your machine
A platform for developers and researcher
that can help simplify the development,
monitor and debugging of your experiments
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“Yeah, I know this
platform but I’ve already
started my project and I
cannot waste time
implementing this
logging mechanism”
Cit. Just a random person to whom I suggest using Wandb
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HOW WANDB CAN BE USEFUL
IN MY WORKFLOW?
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HOW WANDB CAN BE USEFUL
IN MY WORKFLOW?
Track your experiments: log all the metrics
you need to analyse and keep track of
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Track your experiments: log all the metrics
you need to analyse and keep track of
Visualisation of the results: It automatically
creates plots to visualise the results of your
experiments
HOW WANDB CAN BE USEFUL
IN MY WORKFLOW?
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Track your experiments: log all the metrics
you need to analyse and keep track of
Visualisation of the results: It automatically
creates plots to visualise the results of your
experiments
Tune your hyperparameters: the best hyper-
parameters for your model are just a yaml file
away
HOW WANDB CAN BE USEFUL
IN MY WORKFLOW?
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Track your experiments: log all the metrics
you need to analyse and keep track of.
Visualisation of the results: It automatically
creates plots to visualise the results of your
experiments.
Tune your hyperparameters: the best hyper-
parameters for your model are just a yaml file
away.
Results Reporting: easily create dashboard to
report your results.
HOW WANDB CAN BE USEFUL
IN MY WORKFLOW?
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OTHER INTERESTING FEATURES
Wandb Launch: automation of ML Workflow.
Launch your experiment from WANDB on your
machine
LLMs Monitoring: monitor how users interact
with your LLMs
LLM Debugging: verify how your LLM
changes during the training and identify errors
Weave: An interactive solution to create ML &
data apps
(That I haven’t used yet)