So Raku has a module for “few shot” LLM training for DSLs … would be cool to see an example DSL interpreter in Selkie (eg a window for DSL code and a window for output…
Wouldn't be too difficult:
- FileBrowser widget to get the serialised bitmap.
- MultiLineInput for the query text input.
- ListView to show tags and fields.
- RichText for the AST pretty printer.
- https://raku.land/zef:antononcube/LLM::Resources : Uses agentic LLM-graphs with asynchronous execution
- https://raku.land/zef:antononcube/ML::FindTextualAnswer : Finds answers to questions over provided texts (e.g. natural language code generation commands)
- https://raku.land/zef:antononcube/ML::NLPTemplateEngine : Fills-in predefined code templates based on natural language code descriptions/commands
- https://raku.land/zef:antononcube/DSL::Examples : Example translations of natural language commands to executable code
- https://raku.land/zef:apogee/LLM::Character implements CCv3 which is a standard for managing characters (system prompts) and lorebooks (injected snippets)
- https://raku.land/zef:apogee/LLM::Chat handles context shifting for long contexts, sampler settings, templating for text completion & inferencing with or without streaming using supply/tap
- https://raku.land/zef:apogee/LLM::Data::Inference adds retries, JSON parsing & multi-model route handling to LLM::Chat
- https://raku.land/zef:apogee/LLM::Data::Pipeline allows you to declaratively build multi-step pipelines (simple agentic LLM use)
- https://raku.land/zef:apogee/HuggingFace::API is a partial wrapper around HF API for grabbing tokenizers.json & tokenizer_config.json
- https://raku.land/zef:apogee/Template::Jinja2 is a near-complete impl of Jinja2 for parsing LLM text completion templates (can be used for anything you'd use Jinja2 for)
- https://raku.land/zef:apogee/Tokenizers is a thin wrapper around HF tokenizers, for token counting mostly
zypper in ffmpeg-7-libavdevice-devel ffmpeg-7-libavutil-devel ffmpeg-7-libavcodec-devel libunistring-devel libdeflate-devel
which pulled in several dependencies, resulting in the overall package list:
ffmpeg-7-libavcodec-devel ffmpeg-7-libavutil-devel ffmpeg-7-libswresample-devel ffmpeg-7-libavformat-devel ffmpeg-7-libavdevice-devel ffmpeg-7-libavfilter-devel ffmpeg-7-libpostproc-devel ffmpeg-7-libswscale-devel libdeflate-devel libunistring-devel
Maybe just a subset of these is necessary. Conversely, I've already had ffmpeg-7 and libavcodec57 and a number of other devel packages installed from before, so some other packages might also be neccessary. Still, this might help you in adding instructions for installing your Notcurses::Native on OpenSUSE.
librasteve•3h ago
But why would I switch to Raku just to get a TUI framework?
apogee•3h ago
Selkie has an event/effect model similar to Elm & re-frame, you just declare your widgets and renders/updates are handled by the lib.
As for why Raku:
- grammars allow for easy parsing of complex DSLs
- supply/tap are a natural fit for the event/effect model, asynchronous thread-safe programming
- roles make composing widgets simple
- it's fun to write :D
librasteve•3h ago
apogee•3h ago