Luckily a single Deep learning paper title is all you need

I have used this small R package that allows you to read the text content of a PDF and send it to a local llama model via ollama or one of the large LLM APIs. I could use that to get structured answers in JSON format on a whole folder of papers, but the context length of a typical model is only long enough to hold a single (roughly 40-page) paper in the memory. So I had to get separate structurer answers on each paper and then generate a complete summary from those. Unfortunately that is not user-friendly yet.

You caused a civilization underflow. The world is now almost maximally civilized.

No the friendly apex predator of the woods is painted in a very bad light in a lot of these arguments. So no winners really

A village nearby my hometown got fiber for the church and installed directed wifi antennas on the church tower to solve their internet problems

Na, I am pretty sure that sysiphus sees tracks that are only the result of a shwadow play in a cave and you have to exit the cave to truly experience reality

Too few phallic animals for that

Stuttgart has a few nice Art house cinemas. One is in an older building and has some nice retro vibe to it with it’s old sign from the 60s. The other is newer and has better equipment. Both have a really chill atmosphere and a good programme of movies

Can you at least say how your prior belief distribution has shifted or been reaffirmed given the observed data points?

How is Pak better than pacman, which is my preferred package management solution for R.

What a pan-snake-sual Alpha move

Fellow rpg-enjoyer, do you want to hide some off your current inventory in the bread pile?

Agreed. Suburban sprawl I meant

I work as a research economist and use half a model zoo and APIs regularly and have even written a small R package to work with LLM Apis. ChatGPT Pro in the interface for programming questions (helping me to write or document my R code, for example I have used it to easily translate tax laws into R functions to make microsimulations [of course i double check them]). Anthropic’s or Groq’s API’s to process large amounts of documents fast (for examples creating JSON-lists about papers to make them more easily searchable). I have one small script that has many useful prompts that really helps me to rephrase texts (e.g. “Please rephrase this paragraph to be more clear and concise. Give me {n} Versions. {paragrph}”) , which I have included into my browser. I used Stable Diffusion to generate images for my Christmas Cards.

Yeah, I got myself some Borrelia in 2022 thanks to a picnic in a meadow. Luckily the antibiotics killed those pretty fast.

hbomberguy has a few of these wild rides. I look forward to the video he will make sometimes this year.

Apparently my bedroom when I was teenager smelt like espionage

I am not entirely sure. I just searched a bit for it. I only found one in human zoos that was also really interesting. Also another one about the general topic but it’s from a 4 part series on a short history of slavery. Technically a small part of this series is about the emergence of modern racism as a cultural institution to justify the realised oppression due to slavery.

Na this is about R

Also multiple systems included. the old base plotting from the 90s, lattice for really custom things, ggplot as the most humanely understandable and reasonable system for composing plots and great interfaces to plotly and d3.js