Sentiment Analysis of Phone Reviews in PySpark with Large Language Models
Make LLM calls in Spark to analyze the sentiment of a review dataset.
Harsh Singhal | DataScienceFM
Onboarding, News, and Metrics: Completing the Social Loop for AI Platforms - #3
Turn cold starts into warm starts with richer onboarding, add a lightweight News surface, and measure what actually matters—inputs that ladder to retention.
Ranking the AI Feed: A Practical Playbook for “Home” and “For You” - #2
A concrete recipe to rank Home and For You feeds for AI platforms—signals, justification strings, and safeguards against popularity spirals.
ML-Powered Social Discovery for Hugging Face - #1
Why discovery primitives like “Similar Creators,” “Bulk Follow,” and transparent “Why am I seeing this?” justifications are the right starting bets for AI communities.
BERTopic: A Comprehensive Guide to Modular Topic Modeling
Struggling to find meaningful themes in your text data? BERTopic leverages powerful transformer models and a uniquely modular design to generate intuitive, high-quality topics. Our comprehensive guide breaks down everything you need to know, from first installation to advanced customization.
How airoboros Generates High‑Quality Synthetic Training Data
Modern large language models crave oceans of diverse, instruction‑like text pairs and airoboros tackles this gap head‑on.
Exploring Scopy: Python Tools for Smarter Drug Discovery
Scopy is a Python library that streamlines early drug discovery by offering modules for drug-likeness scoring, molecular representation, toxicity prediction, and data pre-treatment. Its modular design empowers researchers to clean, filter, and analyze molecular datasets efficiently.
