I've seen the enterprise version with a top-5 consulting company, and it answers from their global knowledgebase, cites references, and doesn't train on their data.
I recently (in the last month) asked ChatGPT to cite its sources for some scientific data. It gave me completely made up, entirely fabricated citations for academic papers that did not exist.
The behavior you're describing sounds like an older model behavior. When I ask for links to references these days, it searches the internet the gives me links to real papers that are often actually relevant and helpful.
I don’t recall that it ever mentioned if it did or not. I don’t have the search on hand but from my browser history I did the prompt engineering on 11/18 (which perhaps there is a new model since then?).
I actually repeated the prompt just now and it actually gave me the correct, opposite response. For those curious, I asked ChatGPT what turned on a gene, and it said Protein X turns on Gene Y as per -fake citation-. Asking today if Protein X turns on Gene Y ChatGPT said there is no evidence, and showed 2 real citations of factors that may turn on Gene Y.
So sorry to offend your delicate sensibilities by calling out a blatant lie from someone completely unrelated to yourself. Pretty bizarre behavior in itself to do so.
as just another example, chatgpt said in the Okita paper that they switched media on day 3, when if you read the paper they switched the media on day 8. so not only did it fail to generate the correct reference, it also failed to accurately interpret the contents of a specific paper.
I’m a pretty experienced developer and I struggle to get any useful information out of LLMs for any non-trivial task.
At my job (at an LLM-based search company) our CTO uses it on occasion (I can tell by the contortions in his AI code that isn’t present in his handwritten code. I rarely need to fix the former)
And I think our interns used it for a demo one week, but I don’t think it’s very common at my company.
Tersho is a Google Sheets and Excel add-on that uses AI to generate and explain spreadsheet formulas. It is in beta and is available for free as a Google Sheets add-on (Excel version coming very soon!)
Explanation of results for non-ML folks (results on the default supabase repo shown on the homepage):
Codeball's precision is 0.99. It simply means that 99% PRs that were predicted approvable by Codeball were actually approved. In layman, if Codeball says that a PR is approvable, you can be 99% sure that it is.
But recall is 48%, meaning that only 48% of actually approved PRs were predicted to be approvable. So Codeball incorrectly flagged 52% of the approvable PRs to be un-approvable, just to be safe.
So Codeball is like a strict bartender who only serves you when they are absolutely sure you're old enough. You may still be overage but Codeball's not serving you.
It does look at the code at a meta level, in particular if the kind of change in the PR has previously been objected to or corrected afterwards. It creates perceptual hashes out of the code changes which are used as categorical variables that go in the neural net.
Deriving features about the code contributions is probably the most challenging aspect of the project so far.
It’s still 2 factor, just that a few permitted people have access to the one time password. It’s identical to manually sharing the OTP, just automated.
> The security model doesn’t instill a lot of confidence in me, being that you expect user-interaction as a means of security.
they are describing a trend where security is omitted or skipped because it’s inconvenient. even though OTP is used to increase security, it’s inconvenient for people so they go around it like this.
The primary use case is for multiple people wanting to access an account that is behind 2FA.
Example of such folks are -
1) My dad wanting to access my bank account details without having to trouble me
2) Me wanting to login to my brother’s OTT accounts (hotstar, prime etc.)
3) CAs needing bank access for small business owners
I've seen the enterprise version with a top-5 consulting company, and it answers from their global knowledgebase, cites references, and doesn't train on their data.