What are Tutorials?#

These tutorials are a practical starting point and introduce you to various topics covered by Argilla. If you want a more theoretical approach, take a look at our deep dives! Are you unsure about our terminology, take a look here.

MLOps Steps#

๐Ÿท Labelling
๐Ÿ’ช๐Ÿฝ Training
๐Ÿ‘จ๐Ÿฝโ€๐Ÿ’ป Deploying
๐Ÿ“Š Monitoring

NLP Tasks#

๐Ÿ“•๐Ÿ“— TextClassification
๐Ÿˆด๐Ÿˆฏ๏ธ TokenClassification
๐Ÿ‘จ๐Ÿฝ๐Ÿ’ฌ Text2Text

Libraries#

FastAPI
BentoML
DVC
Google Colab
spaCy
Stanza
Hugging Face Transformers
Hugging Face Disaggregators
Sentence Transformers
Flair
SetFit
Small-Text
modAL
Classy-Classification
Skweak
Snorkel
Transformers Interpret
Cleanlab
SHAP
OpenAI
LangChain
Unstructured

Techniques#

๐Ÿผ Basics
๐Ÿ‘จ๐Ÿฝโ€๐Ÿซ Active Learning
๐Ÿ‘ฎ Weak Supervision
๐Ÿ”Ž Explainability and bias
๐Ÿ”ซ Few-shot classification