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Example Notebooks

Examples

Explore Galileo’s practical examples covering real-world use cases and workflows for Evaluate, Observe, and Protect modules across AI projects.

In this section, we will guide you through some code examples and provide links directly to the notebooks where you can easily complete the Galileo Evaluate runs end-to-end.

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Evaluate

Simple 'Prompt Run'

Run an evaluation over your prompts.

Running a Prompt Sweep

Run an evaluation over a combination of model, params and prompt templates to prompt engineer your prompts.

QA Chatbots

Evaluate and compare 3 RAG-based QA Chatbots with OpenAI

RAGOpenAI

Summarization

Evaluate and compare 5 LLM-based summarization bots

SummarizationOpenAIMistralGemini

Langchain Integration

Evaluation of a RAG-based QA Chatbot built with Langchain and ChromaDB

RAGLangchainChromaDB

Registering a AI-powered custom scorer

Learn how to register a custom GPT scorer.

GPT-powered metric

Zero-Shot

Integrate a topic detection model into a Galileo run through a Galileo CustomMetric

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Observe

QA Chatbot

Monitor a RAG-based QA Chatbot with OpenAI

RAGOpenAI

Summarization

Monitor a LLM-based summarization bot

SummarizationOpenAI

Setting up monitoring on your Langchain app

Registering a AI-powered custom scorer

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Protect

Setting up protect

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Finetune

DQ.Auto

Logging Generated Data

Cohere

Encoder-Decoder Models

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NLP Studio

Text Classification

PytorchTensorflowKerasSetFitHuggingFace

Named Entity Recognition

PytorchSpacyHuggingFace

Multi-Label Text Classification

PytorchTensorflow

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