#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data.
https://github.com/FareedKhan-dev/all-rag-techniques
#shell#analyzer#appcleaner#clean#cleaner#cleaner_cli#cleaner_script#command_line#daisydisk#istat#mac#macos#optimize#sensei#shell#uninstall
Mole is a free, open-source terminal tool that deeply cleans and optimizes your Mac by removing caches, logs, browser junk, and app leftovers—freeing up gigabytes like 95GB in one go. It smartly uninstalls apps with all hidden files, analyzes disk space visually, monitors CPU/memory live, and rebuilds caches for better speed. Install easily via curl or Homebrew, preview changes safely, and use Touch ID. This saves you money on paid cleaners, reclaims storage fast, boosts performance, and diagnoses issues simply from your terminal.
https://github.com/tw93/Mole