AI & Machine Learning

This tutorial section contains learning material on programmatically training, managing and deploying machine learning models in Dataiku.

Generative AI - NLP

• Programmatic RAG with Dataiku’s LLM Mesh and Langchain

• Using LLM Mesh to benchmark zero-shot classification models

• GPT-based zero-shot text classification with the OpenAI API

• GPT-based few-shot classification with the OpenAI API

• Comparing zero-shot learning and few-shot learning using Dolly for efficient text classification

• Using Langchain, Chroma, and GPT for document-based retrieval-augmented generation

Experiment Tracking

• With XGBoost and custom pre-processing

• With Keras/Tensorflow for sentiment analysis

• With Catboost

• With LightGBM

• With scikit-learn

Pre-trained Models

• Tensorflow

• PyTorch

• Hugging Face

• SentenceTransformers

• spaCy

• NLTK

Model Import

• Importing serialized scikit-learn pipelines as Saved Models for MLOps

Model Export

• Wrapping an exported model in a CLI tool