mukundesh

Surprising no mention of Google on the page or domain.

I am not sure how this is JEV, but just a llm following the JEV api, as it is using standard LLMS. The main contribution of JEV is not the API but the model itself. Can someone please explain ?

How about Iran/US conflict ? or Israel/Palestine conflict ?

Is anyone working on this ? seems like a big win for AI if it can be done.

Thanks for sharing, could you please comment on the performance aspect vis-a-vis json reader/writer provided by pydantic

Though not Github, worth mentioning Huggingface, which is also using git, but managing large files with their(?) xet protocol. https://huggingface.co/docs/hub/en/xet/index

GitHub Actions are amazing ! For a public repository who will give you a free machine to run for 6 hours at a stretch for a job !!

Will OSS (public) repositories also have to pay if they use self-hosted GitHub runners ? If yes, that seems a bit counterintuitive, given that Github hosted runners are free for public repos.

Why would a public repo use a self-hosted runner ? because the self-hosted runner storage available is only 14GB !!

Github, thanks for making this service available free for public repos, it's a big boon. Currently the runner has only 14GB of disk space, if that can be made to 50 GB, that would be amazing !

Wish GitHub markdown would support Vega-lite to create charts that would be a great combination.

Here is a brief discussion on the same https://github.com/orgs/community/discussions/16963

Does it have Gantt chart ?

Windows service for tracking how much time I spend in each app.

Using parquet in python requires installing pyarrow and numpy, whereas CSV comes with stdlib.

Also, the csv has a very pythonic interface vis-a-vis parquet, in most cases if I can fit the file in memory I would go with CSV.

Safari finally has the Chrome feature that I miss the most, ability to create separate app like experience for a particular website.

Would like to recommend an open source Low Code framework https://frappeframework.com, significantly reduces the code to be written.

Have been using notes on macOS, works great. I do worry that notes are stored in a proprietary format, would love to have a backup in markdown...

Nice, would be nice to have it integrated in GitHub markdown.

Looks similar to Vega or Vega-lite(https://vega.github.io/vega-lite/). Definitely as rich as D3.js but gets the job done for simple visualisations.

Thanks for the generous free tier. I used plausible for a month then shifted to cloudflare web-analytics, that also has a free tier. Cloudflare UI is very basic, will give beamanalytics a try. Would appreciated if there were any comparisons.

I read the ethernet paper(https://dl.acm.org/doi/10.1145/360248.360253) in college - one of the few instances where the paper did a better job of explaining the concept that the textbook.

Why `summer jobs`, I would have thought they would have gone there for a `winter jobs`.

Using Cachegrind to get hardware independent performance numbers (https://pythonspeed.com/articles/consistent-benchmarking-in-...)

Also used by SQLite in their performance measurement workflow(https://sqlite.org/cpu.html#performance_measurement)

Wish there were some tables and charts to consume the data easily.

GitHub is doubling down on Markdown

https://github.blog/2022-02-14-include-diagrams-markdown-fil...

https://github.blog/changelog/2022-01-21-allow-to-upload-svg...

Long live Markdown !!

Only available in .NET ecosystem, got excited after I read the title, but forgot Microsoft is Microsoft.

"YARP is a reverse proxy toolkit for building fast proxy servers in .NET using the infrastructure from ASP.NET and .NET."

Performance quote:

Compared to existing libraries like PyODBC, Arrow Flight is already as much as 20x faster (~00:21:00). Flight SQL will package these performance advantages into a standard interface, ready for clients and databases to implement.

Would be good to compare with more main stream ODBC/JDBC drivers, especially how it compares to the ones provided by the DBMS providers.

Would be good to copy from MkDocs Material

https://squidfunk.github.io/mkdocs-material/reference/code-b...

``` py hl_lines="2 3"

def bubble_sort(items):

    for i in range(len(items)):
        for j in range(len(items) - 1 - i):
            if items[j] > items[j + 1]:
                items[j], items[j + 1] = items[j + 1], items[j]

```

https://archive.org/details/books?sort=titleSorter another great source, sadly not well formatted.

Completely agree, 'eqn' was a pioneering achievement followed by TeX and Mathematica

"The eqn program was created in 1974 by Brian Kernighan and Lorinda Cherry. It was implemented using yacc compiler-compiler.[1]" eqn Wikipedia.

Interesting to know that eqn pre-dates TeX, TeX was released in 1978

Would be great if Github added maths support in markdown.