The article argues that instead of developing numerous tools for LLM, giving it direct access to a terminal is more efficient and future-proof. It references Rich Sutton's "The Bitter Lesson" and discusses how the terminal's existing command-line tools can be utilized by LLM for various tasks, highlighting the importance of general methods over specialized tools.
Breadboard OS is a command-line operating system for the Raspberry Pi Pico, built on top of FreeRTOS. It aims to enable quick prototyping and supports querying, starting, or killing services, checking flash usage and memory usage, and controlling GPIO pins and other peripherals.
Neofetch, a popular command-line tool for displaying Linux system information, has been officially discontinued.
The source code has been archived on GitHub by programmer Dylan Araps.
There are several alternatives available, including Fastfetch and HyFetch, which are actively being developed.
The source code has been archived on GitHub by programmer Dylan Araps.
There are several alternatives available, including Fastfetch and HyFetch, which are actively being developed.
apt install tesseract-ocr-fra
* **http.server**: Run a localhost web server on port 8000: `python -m http.server`
* **base64**: Encode/decode base64: `python -m base64 -h`
* **asyncio**: Python console with top-level `await`: `python -m asyncio`
* **tokenize**: Debug mode for Python tokenizer: `python -m tokenize cgi.py`
* **ast**: Debug mode for Python AST module: `python -m ast cgi.py`
* **json.tool**: Pretty-print JSON: `echo '{"foo": "bar"}' | python -m json.tool`
* **random**: Benchmarking suite for random number generators (fixed in Python 3.13)
* **nntplib**: Display latest articles in a newsgroup: `python -m nntplib`
* **calendar**: Show a calendar for the current year: `python -m calendar` (with options like `-t html`)
* **base64**: Encode/decode base64: `python -m base64 -h`
* **asyncio**: Python console with top-level `await`: `python -m asyncio`
* **tokenize**: Debug mode for Python tokenizer: `python -m tokenize cgi.py`
* **ast**: Debug mode for Python AST module: `python -m ast cgi.py`
* **json.tool**: Pretty-print JSON: `echo '{"foo": "bar"}' | python -m json.tool`
* **random**: Benchmarking suite for random number generators (fixed in Python 3.13)
* **nntplib**: Display latest articles in a newsgroup: `python -m nntplib`
* **calendar**: Show a calendar for the current year: `python -m calendar` (with options like `-t html`)
The "LLM" toolkit offers a versatile command-line utility and Python library that allows users to work efficiently with large language models. Users can execute prompts directly from their terminals, store the outcomes in SQLite databases, generate embeddings, and perform various other tasks. In this extensive tutorial, topics covered include setup, usage, OpenAI models, alternative models, embeddings, plugins, model aliases, Python APIs, prompt templates, logging, related tools, CLI references, contributing, and change logs.
- WKHTMLTOPDF is a set of open source command line tools for converting HTML pages into PDFs or images.
- It uses Qt WebKit rendering engine and runs headlessly without requiring a display.
- A C library is available too.
- It uses Qt WebKit rendering engine and runs headlessly without requiring a display.
- A C library is available too.
Mixtral 8x7B:
Use llm-llama-cpp plugin.
Download a GGUF file for Mixtral 8X7B Instruct v0.1.
Run the model using llm -m gguf with the downloaded file.
Use llm-llama-cpp plugin.
Download a GGUF file for Mixtral 8X7B Instruct v0.1.
Run the model using llm -m gguf with the downloaded file.
Use large language models embedded in single-file executables from the command line to perform tasks like renaming images based on their visual content
