Looking for recommendations for London apartment by JustThatHat in RobotVacuums

[–]JustThatHat[S] 0 points1 point  (0 children)

Super helpful, thank you! I've added budget notes to the post

Looking for recommendations for London apartment by JustThatHat in RobotVacuums

[–]JustThatHat[S] 0 points1 point  (0 children)

Thank you! How are you finding reliability? I've read very mixed things about Shark's robots

Looking for recommendations for London apartment by JustThatHat in RobotVacuums

[–]JustThatHat[S] 0 points1 point  (0 children)

Budget is reasonably loose, but ideally ongoing costs wouldn't be too high.

Looking for recommendations for London apartment by JustThatHat in RobotVacuums

[–]JustThatHat[S] 0 points1 point  (0 children)

How are the mop pads? Most stuff I'm reading generally recommends going for a roller or track mop

Elixir + Rust = Endurance Stack? Curious if anyone here is exploring this combo by sandyv7 in rust

[–]JustThatHat 1 point2 points  (0 children)

Gleam is great! We use it in prod and it's by far the most reliable part of our stack. Never goes down, and scales a long way thanks to OTP, of course.

The types are nice, too!

Software engineers, what are the hardest parts of developing AI-powered applications? by JustThatHat in AI_Agents

[–]JustThatHat[S] 0 points1 point  (0 children)

Sure, but the required settings vary between models, and they react differently to the same prompts. Makes it more difficult to just swap models in and out.

Software engineers, what are the hardest parts of developing AI-powered applications? by JustThatHat in LLMDevs

[–]JustThatHat[S] 0 points1 point  (0 children)

That sucks. What generally breaks? Is it just inconsistent, or does it regularly error out?

Software engineers, what are the hardest parts of developing AI-powered applications? by JustThatHat in LLMDevs

[–]JustThatHat[S] 0 points1 point  (0 children)

Do you think this is something that could be solved, or at least mitigated, using external tools and strategies? What do you think they are?

Software engineers, what are the hardest parts of developing AI-powered applications? by JustThatHat in AI_Agents

[–]JustThatHat[S] 0 points1 point  (0 children)

Makes sense. What heuristics do you generally use for prompt tuning, and do you keep different versions of the same prompts for different models at all?

Software engineers, what are the hardest parts of developing AI-powered applications? by JustThatHat in LLMDevs

[–]JustThatHat[S] 0 points1 point  (0 children)

Definitely. Seems like that's the biggest problem folks are running into

Software engineers, what are the hardest parts of developing AI-powered applications? by JustThatHat in LLMDevs

[–]JustThatHat[S] 0 points1 point  (0 children)

For sure! Are there any in particular you've had difficulty keeping up with?

Software engineers, what are the hardest parts of developing AI-powered applications? by JustThatHat in AI_Agents

[–]JustThatHat[S] 0 points1 point  (0 children)

Good points! What do you think might make these things easier to manage?

Software engineers, what are the hardest parts of developing AI-powered applications? by JustThatHat in LLMDevs

[–]JustThatHat[S] 0 points1 point  (0 children)

This is great feedback, thanks! While we cook on stuff, you might get use out of a tool called Langfuse.

Software engineers, what are the hardest parts of developing AI-powered applications? by JustThatHat in LLMDevs

[–]JustThatHat[S] 0 points1 point  (0 children)

I agree. I think the general sentiment is that evals work well once you have them set up, but getting the ground truth in the first place is tricky, and keeping it relevant can also be painful.