Nublet question: is there anything linking LLMs and data analyst and visualizations yet? I saw a bit with MS Copilot and Excel. I want to know if there is anymore advanced in the works. Thanks!

How is this different from prompt engineering with langchain? They don't say.

badass calculator and more

ChatGPT: Wolfram Alpha is a website that you can use to get answers to questions and do calculations on a wide range of topics, from science and math to history and finance. It's like having a really powerful calculator and encyclopedia that you can access anytime from your computer or mobile device.

When fine-tuning alpaca, would it make sense to use an unsupervised approach with raw text data (say only 100mb) or would a supervised QA approach be way better?

so, open assistant?

where are you finding 24gb p40's for $150?

Cool but pls explain what is Wolfram i see it alot but I don't know what it is

Agreed. It’s basically a joke

"Best" I suppose meaning closest to the latest ChatGPT on the usual benchmarks.

First on my own gpu to test (3080ti), then on a cluster if I can prove out the concept.

Thanks I'll definitely look into Alpaca. It can be customized to work with human ratings of generated output?

best is a very vague term. Do you have access to a gpu cluster, or do you plan to run it on an office laptop. However id say the Alpaca model would be a good candidate. you can follow their guidance and make your own custom model from one of metas Llama models

So my only hope is the low-score-reviewer will not show up on the last day and say his/her mind is not changing.

Don't typical home assistants already do voice recognition in the cloud? It's just the attention phrase ("ok Google" etc) they recognize locally

Bing Create Image?

Well, you can use facebook, youtube, google calendar, etc. through safari/chrome/etc. on your phone too. Doesn't mean the experience isn't better when it is tailored to the platform you're using.

Having a lot of these platforms converted into chatGPT in the most ideal manner seems like a better way and more practical way to use it.

I'm optimistic, between the hardware and algorithmic advances being made

Oh, yeah, understanding what the tools do isn't the problem.

The thing changing its mind about how to fill out the prompt is the issue, forgetting the prompt altogether, etc. And then you have to have smarter and smarter regexs and..yeah. it's rough.

It's POSSIBLE to get it to work but it's a pain. And it introduces lots of round trips to their slow API and multiplies the token costs.

I feel like I can't fully grok the implications of this because I'm so exhausted from keeping up with all the recent developments in ML. Can we have one day without new product launches or research breakthroughs 😩

Models need to get a lot smaller (without sacrificing too much capability) and/or phone TPUs need to get a lot better first

There is still utility for on Prem deployment of LLMs

It's a shame that 'Open'AI has become so closed. Would be so cool to see a proper paper with technical details on how this works...

Leaving out the best part: a commented out line reveals that the original/alternate title of the paper was “First Contact With An AGI System”

same. None reaction from any reviewer. In this case the 'discussion period' is vague and pretty funny

I've just been parsing the json output using a json5 parser (ie in Python, import json5 as json). In my experience, this catches all of the occasional json output syntax errors (like putting a comma after the terminal element).

Whoever is downvoting you just doesn't get it.

My joke was that "structural" was so meaningless that it's obviously a backronym solely in service of my pun.

/r/VictorMollo 's joke is that we should all just go off the deep-end and double down on blatantly obvious backronyms.

Notice he used the word "Widget" instead of freaking "Weighted"? He obviously chose to Taylor it that way because he appreciates my puns.

We obtain 7/7/5 with confidence score 5/4/4. Our rebuttal addresses the questions and comments of each reviewer but we could not make it on time for an additional experiment that one of the reviewer may find interesting. Our rebuttal was well-written but there are some points we wish that we could express in another way. I'm now extremely worried if it could negatively affect the final recommendations of the reviewers. None of the reviewers respond to my rebuttal yet...