I'm having a lot of fun chatting with characters using Faraday and koboldcpp. Faraday has a great UI that lets you adjust character profiles, generate alternative model responses, undo, or edit dialogue, and experiment with how models react to your input. There's also SillyTavern that I have yet to try out.
I hate this kind of clickbait marketing suggesting the project is delivering 1/100 of the size or 100x-35000x the speed of other solutions because it uses a different language for a wrapper around core library and completely neglecting tooling and community expertise built around other solutions.
First of all the project is based on llama.cpp[1], which does the heavy work of loading and running multi-GB model files on GPU/CPU and the inference speed is not limited by the wrapper choice (there are other wrappers in Go, Python, Node, Rust, etc. or one can use llama.cpp directly). The size of the binary is also not that important when common quantized model files are often in the range of 5GB-40GB and require a beefy GPU or a MB with 16-64GB of RAM.
I’m using Jupyter Book (https://jupyterbook.org/) to build all kinds of daily reports and it works really well.
Individual notebooks can also be converted to HTML or pdf with nbconvert using command line or “download as” menu item.
Mine came with a manual in German and some hardly readable photocopy of a translation written on a typewriter. That was a steep learning curve for a kid. Fortunately there were a lot of young and older folks who shared knowledge, engaged into demo scene or just played games. Later on I got a couple books and subscribed to the C&A magazine which helped me a lot with diving into graphics programming, extension ports, SID, etc.
The best part about C64 was it immediately booted into a Basic prompt that invited you to experiment with the hardware, like typing these magic POKE commands to set screen and text colors.
Just guessing, but there may be other devices providing DNS service on your network. For example I have found that AppleTV is listening for DNS queries on a couple ports and MacOS will happily fallback to that.
Wavelets are fun. I first heard about them in the early 2000s when I read about JPEG 2000 image compression format [1]. Back then the primary tool to play with signal transformation was the Matlab Wavelet Toolbox. As I got more interested in the topic I started work on PyWavelets [2] Python package for my master's thesis about medical signals processing and ML classification.
I'm not actively involved in the package development anymore but it is still maintained [3] and there is a great chance that you have it already in your Python environment as a dependency of scikit-image/scikit-learn. Just give it a try, it's very simple:
>>> import pywt
>>> cA, cD = pywt.dwt([1, 2, 3, 4], 'db1')
There are many reasons for using other databases like PostgreSQL or MySQL in production - feature set, (managed) hosting, backup and replication, etc.
SQLite is primarily embedded/local database and cannot be easily separated and shared over network [1] between multiple disposable backend/worker instances.
The MBP 2015 with discrete GPU is hardwired to output video signal through AMD M370X. It can get quite noisy when just connected to an external display.
Apple is creating a false sense of privacy with their privacy-focused marketing. I appreciate their efforts building secure products but without a way to block or filter 3rd party app network data they leave their users vulnerable.
Also many ad-blockers that could filter app traffic were nuked from the App Store. I wish there was a way to firewall network traffic in the same way it is possible on other systems.
Why software updates and especially security bug fixes are not covered by manufacturer warranty as it is with hardware issues? Or maybe they are but no one enforces that?
In other words if I buy a phone with 2y warranty (a standard duration in many European countries) it would be reasonable to expect that any security updates (device fixes) will be provided in a reasonable time within that period starting from the purchase date.
It depends on the revisit time, spatial resolution, region of interest, cloud coverage and product type. For example Landsat 8 images the entire Earth every 16 days, Sentinel-2 revisit time is ~5 days with 2 satellites and MODIS provides daily data but at moderate spatial resolution (> 250m).
We expect both the spatial resolution and revisit time to improve as more companies are launching satellite constellations.
They already provide Earth Engine platform which is more complete both in terms of available datasets as well as developer APIs.
AWS product basically consists of open remote sensing datasets uploaded to S3. This is convenient if you deploy on AWS (transfer costs) but still have to develop all the data processing.
I turned off JavaScript and Cookies for all sites a few months ago and only whitelist (or open in another Chrome profile) when they refuse to display or need an authenticated session.
There are some sites that require JS to render, but the great thing is that majority of pages I visit work just fine as plain html/css. In general I feel less distraction from popups, overlays, ads, etc.
The 4G-AC55U router is also vulnerable but did not receive a security firmware update (last firmware release was a year ago on 2016-05-20) and is not listed on the page.
If you happen to be running this device you may want to apply precautionary measures.
Telemetry at the OS level bothers me to the point that I'm not Windows user anymore and I I'm not planning to become one anytime soon.
But to be fair one should point out that Apple is also collecting telemetry data (search system logs for com.apple.telemetry) without any toggles in the system preferences.
Search results don't bring much info on what is collected and how it is being used. Does anyone here have insight into Apple telemetry granularity?
For clarification, the Docker Community Edition appeared in the Docker for Mac beta channel, but it looks there is no official announcement yet of the upcoming editions.
The link leads to a staging version of the store.docker.com site that is indexed in google.
Backend and frontend development, mobile APIs, devops.
I usually do Python, Django, mobile backends, PostgreSQL/*DB, JS, Angular, Scala, Go, system architecture, database design, automation, devops (Ansible, Salt) and whatever it takes to get the job done.
I'm capable of executing all stages of projects, starting from a customer idea and ending with a ready, deployed product.
I have a broad technical and domain-specific knowledge (medical, financial, automotive, location-based services, machine-learning, analytics, wavelets) and several years of experience working for startups, business customers and open-source.
I deliver several projects a year. Here's some of my work:
- https://faraday.dev/
- https://github.com/LostRuins/koboldcpp
- https://github.com/SillyTavern/SillyTavern