Google Sheets now allows users to generate text, summarize information, and categorize data using Gemini AI directly in cells. The feature supports text generation, summarization, categorization, and sentiment analysis with optional data ranges.
This tutorial demonstrates how to perform semantic clustering of user messages using Large Language Models (LLMs) by prompting them to analyze publicly available Discord messages. It covers methods for data extraction, sentiment scoring, KNN clustering, and visualization, emphasizing faster and less effort-intensive processes compared to traditional data science approaches.
This article provides a comprehensive guide on the basics of BERT (Bidirectional Encoder Representations from Transformers) models. It covers the architecture, use cases, and practical implementations, helping readers understand how to leverage BERT for natural language processing tasks.
Analyzing Hacker News posts and comments using LLMs to understand community sentiment and trending topics.
