So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...
Use the SQLite CLI's fsdir() table functions with lines_read() to read lines from every file in a directory.
Beads gives AI assistants persistent memory with an SQLite plus JSONL store, so teams cut context waste and deliver sooner.
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