Kelamir

Thank you everyone. I've been contacted by some great people, and for the time being I'm no longer available for freelance. However, if you'd like to establish a contact for possible collaboration at a later date, please feel free to reach out and let's have a talk.

SEEKING WORK | Remote | Junior Web Developer

Hi, I'm Alex Sheiko, a freelance developer with well over a year of experience working with companies worldwide.

Tech: Node.js, TypeScript, React, Next.JS, Sveltekit, PostgreSQL, Tailwind, Prisma, GraphQL, Git, Drizzle-kit, tRPC, etc.

Experience: Among other things, I have developed APIs, contributed to frontend designs, provided database assistance, and helped with production deployment. I do my best to follow industry best practices and deliver clean, maintainable code.

Languages: English, Ukrainian, Russian, German

Location: Ukraine (GMT +03:00)

Rate: 15 EUR/h

Linkedin: https://www.linkedin.com/in/oleksiisheiko

Github: https://github.com/Kelamir

Email: kelamir@protonmail.com

Greatly enjoying the musicbox effect. Thanks!

Super, this has inspired me to look more into using a keyboard to write on a Kindle on an external server, and now I have a much better writing set up.

I've found I enjoy writing on Kindle, despite how limited it was. I make notes by highlighting words in a book and writing them down in a note that was associated with the highlighted word. Clunky but it works.

Using an external server is much better though as it works with my keyboard, allows to keep the writing elsewhere. Very happy with it.

"Brain over body"-A study on the willful regulation of autonomic function during cold exposure

We start by parsing documents into chunks. A sensible default is to chunk documents by token length, typically 1,500 to 3,000 tokens per chunk. However, I found that this didn’t work very well. A better approach might be to chunk by paragraphs (e.g., split on \n\n).

Hmm good insight there. I've done some experimenting formerly by chunk length and it's been pretty troublesome due to missing context.

The trust is in the fact that Firefox has proofread the extension. It is marked as "Recommended".

Same question, so far I've found this thread https://github.com/ggerganov/llama.cpp/issues/1602 where people work on it.

https://github.com/ggerganov/llama.cpp/issues/1602#issuecomm...

Here somebody quantized it down to 29929.56MB .

From the source:

  <center>
    <b>notice</b>
    <p>javascript required to view this site</p>
    <b>why</b>
    <p>measured improvement in server performance</p>
    <p>awesome incremental search</p>
  </center>

hallarempt, thanks for making that clear - I have no issue with the project in that case. Also thanks a lot for maintaining Krita, I've used the software in the past and it's been great. I'm especially interested in combining Stable Diffusion with Krita.

That's a surprisingly great idea. A mobile phone can be used as a server, and for their capabilities, they are cheaper than Raspberry Pi when with some issues especially. Out of curiosity I just found an offer for a used Pixel 6 Pro for 70 EUR, supposedly only broken screen and the rest is working, where it has 12GB RAM with CPU Octa-core (copypasting: 2x2.80 GHz Cortex-X1 & 2x2.25 GHz Cortex-A76 & 4x1.80 GHz Cortex-A55), that's a fairly good offer.

I only used the app in the beginning of my language learning with English, so 6 years ago, but the learning was artificial, making you feel good about making no progress, and I was doing the hardest mode they had with 30 experience or something daily. I switched onto real methods of learning such as immersion and Anki later on, which is when I really learned a number of languages. The gamification is fine, but it should be combined with real progress. As an alternative point, Duolingo is fine to start with as in following the paradigm of "starting small", however has to be abandoned shortly after.

Took a brief look, the Ukrainian ones seem fine. These aren't limited to terms related to humans, I had found an animal disease among other things.

Regarding 1) you could watch https://www.youtube.com/watch?v=klTvEwg3oJ4 . Pinecone is a vector database and LLMs can use them to extend their memory beyond their token limit. Where traditionally an LLM can answer only according what's provided in its context, which is limited by a token limit, an LLM can query the database to get information from it such as your name.

What does this mean in context of https://futureoflife.org/open-letter/pause-giant-ai-experime... , where CEO of Stability AI had left a signature on the petition(it's 8th in the list)? Do they want time to catch up?

Regardless of that, I'm glad that StabilityAI enters the field as well and releases models for public use.

Is there any explanation to the negativity expressed here over the name? Because GPT4All was posted 20 days ago here https://news.ycombinator.com/item?id=35349608 with 593 points and 303 comments, and nobody mentioned it.

It's made by the same people here https://github.com/nomic-ai/gpt4all who initially distributed a LLaMA based model finetuned for conversations over torrent. I think you're overly critical. GPT4All naming is fine in my opinion, it's literally "GPT for all", but I can see why people would dislike it.

Depends on whether you trust their base project https://github.com/nomic-ai/gpt4all . gpt4all is actively distributed over torrent, I actually have over 2.0 ratio

That depends on topic. It doesn't make sense for medschool students or for people just studying vocabulary. Additionally, if there's a high quality deck such as https://dojgdeck.neocities.org/ , which is a grammar deck for Japanese, it is preferred to use them - if anything, you can extend them with what makes your own cards special, such as mnemonics.

Yes, you can also prompt it with the 20 rules of memorization https://www.supermemo.com/en/blog/twenty-rules-of-formulatin... and you've got yourself an agent which create flashcards for you.

This is a common problem. My preferred solution is to quiz myself on that specific word, then see the word being used in a context with example sentence(s). That could be extra info on back of the card. While it is right to make flashcards atomic, one might misunderstand that so as to not include information that doesn't directly play a role in Question -> Answer.

Simply spoken, get questioned on the word alone, then see it in context. I've found that sufficient to solve this problem.

As an alternative, you can question yourself on a sentence and the word by its own. Note that sentence alone wouldn't cut as you'd memorize the sentence and not the word and would be unable to remember the word otherwise, most likely.

On top of that, you can prompt it with the 20 rules so that it generates cards which would conform to the rules.

https://ncase.me/remember/ could help a bit.

I was impressed when I had seen that the scratch forum has millions of posts: https://scratch.mit.edu/discuss/

You could have your local LLM identify the ads and display the rest without them.

I can confirm, it does change. As of now, it displays one of higher quality: https://www.cerebras.net/wp-content/uploads/2023/03/Scaling-...

Last time I viewed it, I believe it wasn't blurry. Perhaps to scale the traffic the images are now displayed in lower quality?

But I'm not sure anymore that it wasn't initially blurry... Perhaps I'm hallucinating, like large language models.

Current image displayed is https://www.cerebras.net/wp-content/uploads/2023/03/Scaling-... , will see if it changes.

Universal basic rent :)

Previously I had the same issue, but it works for me now, as well as for a friend in another EU country.