State-of-the-art LLM agents do not perform calculations, they call external tools to do that.
To be fair, not all knowledge of LLM comes from training material. The other way is to provide context to instructions.
I can imagine someone someday develops a decent way for LLMs to write down their mistakes in database and some clever way to recall most relevant memories when needed.
Finally, list of followed hashtags are more visible. I endorsed it, since I think it has a potential to bring more attention to tags, thus making them more useful
Everything comes down to proper function naming. If it wasn’t clear what function should return, then it was not named properly.
That hits me like something a teacher tells you in a coding class that turns out to be nonsense when you get to the real world.
In a company I work in, we have “no comments policy” for at least ~10 years now and we are not planning to change that. It’s not just theory, we work like this in practice and purpose of each part of code is perfectly understandable just from variable names, file names, namespaces, function names.
The biggest problem with comments is that they can become outdated. If you change code but forget to change comment you introduce very dangerous situation where they become not only not useful, but also misleading.
If you rely on variable names, you’ve got a single source of truth, one thing to change at a time. Information updates itself.
I support this request, even issue on GitHub does not contain any (even short) description
ofc I could even send raw api requests, but sometimes it’s good to have a nice GUI that “just works”.
Specifically I’m looking for something that could handle not only text responses, but also attachments, speech recognition and MCP support.
Taking advantage of the fact that this thread became popular, question to all of you guys: do you recommend some other open source LLM front ends?
I’m glad you are posting links you find interesting, that what I come here for, to see links that people find interesting.
What I don’t like is the form of it. You are pasting links to news aggregator inside news aggregator. This form kills discoverability: in other communities, you can scroll through list of topics and more or less learn just from headlines what is happening. In this community - you can’t. It also kills discussion - when I comment, I need to paste link to the article I am referring to, because otherwise it would be impossible to tell which story I am referring to.
I might of course ignore it, but I believe it is not neutral to the entire community. Many such posts in a row might suggest to new users that mostly bots are in here, in effect discouraging them to stay. That is why I think we should not allow such links in here, but I’ll leave this decision to moderators and I’ll accept it whatever they decide.
It looks like this when I enter this community:
As long as they are free and open source, I don’t care.
It’s not even remotely close to what SpaceX accomplished ~10 years ago.
I understand that people are mad at Musk, but despite that I can not really see any other organisations that have a potential of moving space exploration further. It just feels bad to me, I wanted Starship to happen
Using Lemmy as a blog is an interesting idea, because it allows to distribute your posts to other users timelines easily, but does it do well in terms of cost of self hosting? How much more computational work does enabling federation require?
For start definitely Linux Mint. It is stable, has strong support, works out of the box.
wow, interesting. I overlooked it, thanks for sharing
I mean: it is a writing error, because you can’t compare “class based” to OOP, since they are just different things, but this is what is suspect was the case ;)
Object oriented languages can be either class based or prototype based. Java is class based, JS was back then prototype based
What’s interesting is that people learning to code are more likely to say “I’m not using AI and I don’t plan to” then professionals.
Sounds counter intuitive to me because I expected professionals to be more conservative in that matter. They already have some habits developed, as opposed to new learners that in theory should benefit from AI because it makes doing simple things easier and can quite well explain basic concepts.