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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 showcases 15 real-world examples of companies using Large Language Models (LLMs) in various industries, such as Netflix, Picnic, Uber, GitLab, LinkedIn, Swiggy, Careem, Slack, Picnic, Foodpanda, Etsy, LinkedIn, Discord, Pinterest, and Expedia.
This is a GitHub repository for a Discord bot named discord-llm-chatbot. This bot allows you to chat with Large Language Models (LLMs) directly in your Discord server. It supports various LLMs, including those from OpenAI API, Mistral API, Anthropic API, and local models like ollama, oobabooga, Jan, LM Studio, etc. The bot offers a reply-based chat system, customizable system prompt, and seamless threading of conversations. It also supports image and text file attachments, and streamed responses.
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