msp26

16 ms·

181.
by msp26 3y ago
When you have permanent background noise in the form of Tinnitus already it's an improvement.
182.
by msp26 3y ago
> and I would also like to thank the Glaze Team, because I accidentally discovered this while analyzing latent images perturbed by Nightshade and wouldn't have found it without them, because I guess nobody else ever had a reason to
183.
by msp26 3y ago
Alignment tax is real. But they probably have something more powerful internally. GPT-4 took months to be available to the public.
184.
by msp26 3y ago
>Like Glaze, Nightshade is computed as a multi-objective optimization that minimizes visible changes to the original image. It's still noticeably visible.
185.
by msp26 3y ago
To this day I still don't know what I was shadowbanned for. It got randomly removed a few months later. And it's ridiculous when you make a very high effort long post but then get the whole thing hidden because of the use of retar
186.
by msp26 3y ago
Count the tokens, use different prompts. It's fairly reliable to do this from API but I haven't tried with the web app.
187.
by msp26 3y ago
Well someone did just write "'now you have two problems' b-bazinga. Software engineering is hard." I don't blame them for the lock.
188.
by msp26 3y ago
The website doesn't seem to load for me. (Android Firefox/Chrome)
189.
by msp26 3y ago
Would searching the entire corpus really be easy?
190.
by msp26 3y ago
Language models have completely overhauled the NLP space. If you have a problem involving natural language data, you can prototype working pipeline in an afternoon. Often this prototype is very close in performance to a 'proper' s
191.
by msp26 3y ago
Yeah I was using hacky workarounds like this to get Object[] types in my schema. The API seemed to throw a fit if I did this in any other way. ``` {"type": "array", "items": {"type": "object&quot
192.
by msp26 3y ago
Thanks for the example! This does seem a lot more flexible.
193.
by msp26 3y ago
Great article. The helpful/flawed bools for thoughts are definitely something I want to try. >OpenAI’s implementation of including the “function” is mostly likely just appending the JSON Schema to the system prompt, perhaps with a c
194.
by msp26 3y ago
It's nice for path traced cyberpunk
195.
by msp26 3y ago
What is the current state of private trackers in 2023? Is it worth bothering with?
196.
by msp26 3y ago
I still can't believe there wasn't greater pushback to the removal of visible dislikes. They were incredibly useful as a quick indicator to see if something might be wrong with a video.
197.
by msp26 3y ago
I did but I want more independent testing than just QA performance by position.
198.
by msp26 3y ago
That 200k context needs some proper testing. GPT-4-Turbo advertises 128k but the quality of output there goes down significantly after ~32k tokens.
199.
by msp26 3y ago
Could you point me to more reading on extractive summarisation? A lot of what I see feels out of date compared to what should be possible now with LLMs.
200.
by msp26 3y ago
Also, why's there a fucking ad on my emails list? What was wrong with the old mail program? It worked fine.
201.
by msp26 3y ago
Yeah, degraded performance on long contexts has been observed in plenty of other models [ https://arxiv.org/abs/2307.03172 ] so I was cautious too. Unfortunately I don't have access to 4-32k. I would have liked to t
202.
by msp26 3y ago
The point of a preview phase is to test the model in real world use.
203.
by msp26 3y ago
I'm interested in more testing on the context side of things. For my NLP pipelines, I batch n-articles together to process (extract fields from) in one prompt (final output is something like this {"1":[{}], "2": [{}
204.
by msp26 3y ago
Yeah it gets way higher. We were capped to 40k T/m when our org spend was under $250. Now it's 300k.
205.
by msp26 3y ago
It's probably a smaller, updated (distilled?) version of gpt-4 model given the price decrease, speed increase, and turbo name. Why wouldn't you expect it to be slightly worse? We saw the same thing with 3-davinci and 3.5-turbo. I&
206.
by msp26 3y ago
Might as well have a quick discussion here. How's everyone finding the new models? 4-Turbo is a bit worse than 4 for my NLP work. But it's so much cheaper that I'll probably move every pipeline to using that. Depending on the
207.
by msp26 3y ago
>When OpenAI's abuse team noticed this they modified the system prompt used for those requests to tell the AI to pretend it was a cat, and then monitored the Discord channel of the abusers for the lulz. Please I need a source for th
208.
by msp26 3y ago
Post is deleted and as far as I know, none of the view removed Reddit post sites exist anymore like Reveddit.
209.
by msp26 3y ago
Have you used it for any NLP problems? Language models exceed previous SOTA drastically for many applications.
210.
by msp26 3y ago
You can use the function definitions and few shot prompting (examples) to great effect together. E.g. I was trying to build a classifier for game genres from descriptions. I could use the function definitions to easily define all the main g

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