simple_calculation.py
python scripts/simple_calculation.py
Tag: user-prompt
Text-to-SQL with Claude
Learn how to generate complex SQL queries from natural language using prompting techniques, self-improvement, and RAG.
## Contents
– `guide.ipynb`: Main tutorial notebook
– `data/`: Data files for e
Summarization with Claude
Explore Claude’s ability to summarize and synthesize information from multiple sources using various techniques.
## Contents
– `guide.ipynb`: Main tutorial notebook
– `data/`: Data files for example
Add urgency to the ad copy using AI
Write a simple, concise ad copy on [product]. Add urgency to the ad copy.
Product = [Insert Here]
Write Feedback Emails Using AI
Write a feedback email for [product]. Include [feedback] and keep the email simple, concise.
Product = [Insert here]
Feedback = [Insert here]
Regression using the embedding features
from sklearn.ensemble import RandomForestRegressor
rfr = RandomForestRegressor(n_estimators=100)
rfr.fit(X_train, y_train)
preds = rfr.predict(X_test)
Create an Open AI Responses / Chat Completions endpoint
transformers serve
Retrieval Augmented Generation with Claude
Learn how to enhance Claude’s capabilities with domain-specific knowledge using Retrieval Augmented Generation (RAG).
## Contents
– `guide.ipynb`: Main tutorial notebook
– `data/`: Data files for ex
Retrieval Augmented Generation with Contextual Embeddings
Learn how to improve RAG performance using contextual embeddings to add relevant context to each chunk before embedding.
## Contents
– `guide.ipynb`: Main tutorial notebook
– `data/`: Data files for
Classification with Claude
Learn how to use Claude for classification tasks, especially in scenarios with complex business rules and limited training data.
## Contents
– `guide.ipynb`: Main tutorial notebook
– `data/`: Data f