Scraping News Ariticles use Beautiful Soup Library, Summarization the News Articles use Algoritma MMR, and Classification Articles use Lexicon Dataset
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Updated
Jan 3, 2022 - Jupyter Notebook
Scraping News Ariticles use Beautiful Soup Library, Summarization the News Articles use Algoritma MMR, and Classification Articles use Lexicon Dataset
Sample Node.js / TypeScript application that demonstrates how to use Tolling Vision
Classical Machine-Learning Approach to the identification of mean-motion resonances
Contains the source code for the web version of R6RC
Sample Python application that demonstrates how to use Tolling Vision
Sample Java application that demonstrates how to use Tolling Vision
A conversion of Aleksandr Zelenin's Go library to NodeJS
LLMs use cases and studies
The Customer Support Ticket Classification and Response System combines advance AI models with RAG to automate and elevate ticket categorisation and response generation. By leveraging multi-model integration, sentiment analysis, urgency detection, and vector-based retrieval, it delivers precise, context-aware responses and actionable insights.
Examination of whether LLMs can maintain consistency over extended multiple text generation for 10 medical personas. 5 novel plausibility metrics proposed, and an ontology of common LLM errors.
A Simple Checklist for Different Sanities in the OoTMM Combo Randomizer
Efficient matchmaking algorithm for a 5v5 team-based game. Balances teams based on player MMR, preferred roles, and waiting time. Handles large player pools and creates fair, competitive matches.
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