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Large language models like ChatGPT are built using five key components: architecture, training algorithms, data, evaluation, and systems. Development involves pretraining for language modeling and post-training for alignment with user needs. This overview focuses on pretraining, covering language modeling, evaluation methods, data preparation, scaling laws, and practical considerations. Understanding these aspects...

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I so hate the phrase "vibe coding"

"Vibe coding" is a controversial new trend where developers use AI to generate code instead of writing it themselves. Critics argue it produces low-quality results, relies on open-source code without credit, and undermines the...

llm-shell: Built with llm.rb.

llm-shell is a versatile command-line tool for interacting with multiple Large Language Models. It offers a unified interface for models like Gemini, OpenAI, Anthropic, and Ollama, allowing users to attach local files, extend...

Using the Python subprocess Module

Python's subprocess module runs shell commands and manages external processes, allowing execution of commands, launching applications, handling I/O streams, and providing tools for error handling and process communication in...