sgpt
promptos
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sgpt
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Aider: AI pair programming in your terminal
I feel only a bit bad when deploying a billion dollar machine model to ask "how to rename a git a branch" every other week. Its the easiest way (https://github.com/tbckr/sgpt) compared to reading the manual, but reading the manual is the right way.
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Linux Text Manipulation
I've been saving a lot of time in the terminal recently with shell-gpt (https://github.com/tbckr/sgpt):
$ sgpt -s "The command 'sp current' outputs
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Bash One-Liners for LLMs
https://github.com/tbckr/sgpt
I totally agree with LLM+CLI are perfect fit.
One pattern I used recently was httrack + w3m dump + sgpt images with gpt vision to generate a 278K token specific knowledge base with a custom perl hack for a RAG that preserved the outline of the knowledge.
Which brings me to my question for you - have you seen anything unix philosophy aligned for processing inputs and doing RAG locally?
promptos
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Bash One-Liners for LLMs
I'm heavily using https://github.com/go-go-golems/geppetto for my work, which has a CLI mode and TUI chat mode. It exposes prompt templates as command line verbs, which it can load from multiple "repositories".
I maintain a set of prompts for each repository I am working in (alongside custom "prompto" https://github.com/go-go-golems/prompto scripts that generate dynamic prompting context, i made quite a few for thirdparty libraries for example: https://github.com/go-go-golems/promptos ).
Here's some of the public prompts I use: https://github.com/go-go-golems/geppetto/tree/main/cmd/pinoc...
I am currently working on a declarative agent framework.
What are some alternatives?
blip-caption - Generate captions for images with Salesforce BLIP
geppetto - golang GPT3 tooling
ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.
ospeak - CLI tool for running text through OpenAI Text to speech
scrapio - SMWCentral Scraper / Auto-patcher for Super Mario World romhacks
unstructured - Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.