July 4, 2024

Applying zero-shot forecasting with standard machine learning models Marco Cerliani · Follow Published in Towards Data Science · 6 min read · 6 hours ago — Photo by David Menidrey on Unsplash The rise of Generative AI and Large Language Models (LLMs) has fascinated the entire world initializing a revolution in various fields. While the primary focus of this kind of technology has been on text sequences, further attention is now being given to expanding

How do language models handle conflicting instructions in its prompt? Yennie Jun · Follow Published in Towards Data Science · 7 min read · 6 hours ago — Given contradictory instructions in the system message, the prompt, and examples, which instructions will an LLM follow in its response? Created by the author. How do language models handle conflicting instructions in a prompt? Cognitive dissonance is a psychological term describing the mental discomfort experienced by an

Image by AI (Dalle-3) From CSVs to databases: loading data into PySpark DataFrames Thomas Reid · Follow Published in Towards Data Science · 11 min read · 6 hours ago — When using PySpark, especially if you have a background in SQL, one of the first things you’ll want to do is get the data you want to process into a DataFrame. Once the data is in a DataFrame, it’s easy to create a temporary

How simulations outperform traditional stats in that they are easier to understand, more flexible, and economically meaningful Samuele Mazzanti · Follow Published in Towards Data Science · 11 min read · 9 hours ago — [Image by Author] Controlled experiments such as A/B tests are used heavily by companies. However, many people are repelled by A/B testing due to the presence of intimidating statistical jargon including terms such as “confidence”, “power”, “p-value”, “t-test”, “effect size”,