Users shouldn't need to remind the LLM not to fabricate data when it doesn't have access to a specific dataset.

Thanks @GICodeWarrior for taking time commenting on the article. Shamefully, I can already imagine a scenario on how the attack could be carried out. Fortunately, the vulnerability can be corrected by introducing escapejs template filter. Big thanks to @gynvael.

Encoding for each scenario can be quite complex unfortunately. Django does have some template filters to help.

I recommend following the documentation carefully, and using a JSON API or other similarly standard mechanism if the documented options are insufficient.

I had an opportunity to work for Outlier as an AI trainer/reviewer, the point was to beat the AI models. The role doesn't relate to SWE duties, but it was a good money. Like someone swimming in the ocean when he finds a small tiny isle and takes a break for next miles.

This trend that wants clickbait to not be considered clickbait.

I love my Garmin Fenix 6 pro.

Childish AI, I gave him two photos, both was totally wrong and hundred thousands miles from actual locations.

Don't recommend.

All big enough languages have plenty of dialects.

The tool should teach arabic "classic" as it is intended for non arabic speakers.

The issue is that nobody speaks "classic" arabic in day to day life, so its not very useful. The egyptian dialect on the other hand is the most widely spoken dialect and understandable by most arabic speakers.

Media in all forms are full of classic Arabic, so your premise doesn't stand. I've just wanted to make a point on preserving the classic Arabic.

I have just deleted my account.

This reminds me of Mule ESB when it was in its beginning.

How it ended: In 2018, Mulesoft was acquired by Salesforce for $6.5 billion in a cash-and-stock deal.