everyone tryna trick me into paying like $20/month for programming
NICE TRY!
programming is free, suckas
GitHub | https://github.com/nevrome |
ORCID | https://orcid.org/0000-0003-3448-5715 |
Bluesky | https://bsky.app/profile/ClemensSchmid.archaeo.social.ap.brid.gy |
everyone tryna trick me into paying like $20/month for programming
NICE TRY!
programming is free, suckas
Working on a big scrollable ASCII landscape with vertical parallax effect for a commission. Sky part is done, still lot of stuff to do on the ground part
How am I supposed to get any work done when the maths is so pretty! Look at it flutter by like a butterfly!
This is an animation for "biharmonic spline interpolation" (see also: https://doi.org/10.1007/s11004-011-9346-5).
I'm testing a Julia implementation here which I'd like to use to interpolate the Z-coordinate for meshes that should span a closed curve domain where the x,y, and z are known. Here I created a circle and manipulated the z-coordinates using z=sin(x+a) where a is a phase offset. Next I animated the change of the phase offset to create the wave like motion.
Want to create isometric diagrams for your engineering, architecture, and technical drawings? Try FossFLOW to make drawings for clarity and precision. It is a free software and works offline too.
In today's #gleo news: wind data!
Or, more technically: a 2-band raster covering the globe and properly warped (EPSG:4326→EPSG:3857) containing UV speed data, visualised as a particle trail simulation.
Thanks to the #FOSS4GE2025 for providing the environment that has let me pull this off.
Check it yourself at https://ivansanchez.gitlab.io/gleo/repl.html#Wind%20raster%20particles
#ragnar v0.2.0 is on CRAN #rstats!
It has a MUCH improved chunker; markdown_chunk() picks better boundaries, builds context, segments by headings, and handles overlapping chunks. Oh, and ragnar_retrieve() can deoverlap retrieved chunks now.
Other highlights:
- read_as_markdown() handles HTML better, now supports selectors
- Store inspector now displays chunk context and looks nicer.
- More embedding providers (Google, Databricks, Bedrock)
Website got a big update too: https://ragnar.tidyverse.org
Provides tools for implementing Retrieval-Augmented Generation (RAG) workflows with Large Language Models (LLM). Includes functions for document processing, text chunking, embedding generation, storage management, and content retrieval. Supports various document types and embedding providers (Ollama, OpenAI), with DuckDB as the default storage backend. Integrates with the ellmer package to equip chat objects with retrieval capabilities. Designed to offer both sensible defaults and customization options with transparent access to intermediate outputs. For a review of retrieval-augmented generation methods, see Gao et al. (2023) "Retrieval-Augmented Generation for Large Language Models: A Survey" <doi:10.48550/arXiv.2312.10997>.