Technology

ChatGPT. I avoid Google as much as possible.

Haven't tried bard but use ChatGPT to write/debug scripts and SAP stuff. Also asking it when I have simple but technical questions.

I am also downloading and running the latest models in the local LLM space every 2-3 weeks, just waiting for the point at which they finally take over gpt3.5 at which point I'll probably not touch ChatGPT again.

Tried both but honestly haven't found much of a proper use for either.

I still use Google for ~95% of my queries because I like real sources, comprehensive documentation, and not having to read a wall of text when a one-line answer would have sufficed.

ChatGPT is a good replacement for Quora/Stack Exchange for explaining general knowledge stuff like other languages' grammar and simple science, as well as finding authors/books/movies from descriptions when you've forgotten their names.

Bard is... kinda dumb. I gave it a few chances, but it was nothing compared to ChatGPT's free tier.

ChatGPT is my programming rubber ducky for general stuff

I use bing mostly.

Just tried out Bard with what I thought was a not to exotic question.

It made up a feature for a library, then lied about when it was added, and finally conocted some imaginary source code for it.

It's seriously a mystery for me how anyone gets a net benefit from using these LLMs when you have to second-guess literally everything they output.

None, of course.

I use chatgpt for generating ideas for my DND campaign, and for coming up with examples of an idea that I can use as a jumping off point for software development.

Other than that the only LLM I use is GitHub copilot.

Neither because AI is bullshit

I tried both with same question and found them both good. I'm not actively using them for now, but if they give the same results I'll prioritize Bard. I hate Microsoft more than Google.

I’m having a play with the newly launched Claude.ai v2 rafter liking it so far.

I find Phind.com quite useful as an IT person.

I recently got access to CoPilot. Writing tests was never so much fun. It still feels (!) a bit like magic. And it helps with the boring repetitive parts.

Neither. I have played with huggingchat.

Github copilot (chatgpt) is amazing for accelerated programming

I've been using FastGPT from Kagi search, impressed that it is starting to give sources for what it says.

Neither, but I plan to try PrivateGPT soon. I'm curious about feeding it some CS books and testing the outputs to questions. I may also try feeding it transcriptions of CS lectures. I'm curious if it can be useful when I get stuck on stuff while learning on my own

ChatGPT writes my cover letter first drafts for me. It’s pretty good. I fix the draft, obviously, add things, restructure, but it’s way better at boilerplate corporate newspeak than me. Haven’t tried Bard yet, though.

I have not had a chance to try Bard. Since ChatGPT came first, I'm still experimenting with its capabilities to see how it can assist me in my workflows. Since we're on this topic of LLMs, I do suggest anyone using them to read up on "prompt engineering". One drawback of these models is the generation of 'hallucinations' or false information. They work by imitating the next 'token' (think autocomplete but with attention on context)--but there's no fact checking, no reflection, no internal monologue. Better prompting helps avoid these cognitive pitfalls of LLMs and will help produce better/more accurate answers. Prompting LLMs is currently an active area of AI research so a lot is still unknown. However, you can definitely find some pointers and best methods on prompting that help you become a more effective user of these tools.

I use ChatGPT and Bing Chat.

I barely use Bard because it does not support Spanish yet (my main language).

Flan-t5 with RAG. Don't need a big model if the answers to your questions are in the context

I use both. Though it depends more on the type of query. I tend to use more bard or the bing version. I’m much less likely to login to the chatgpt site.