pstorm

6 ms·

31.
by pstorm 3y ago
The first is Millenial as a whole, the second is Millenial broken down by age. Essentially, the oldest Millenials have a ~65% homeownership rate and Millenials as a whole have ~54%.
32.
by pstorm 3y ago
That's not really how MoEs work. They never directly interact with eachother. There is one manager type model that takes a prompt, directs token inference to 1 or more models, chooses the best response, and continues. The analogy would
33.
by pstorm 3y ago
Couldn't you do the same with Kindle samples? Seems lower effort.
34.
by pstorm 3y ago
Took me a while to find the configuration settings you mentioned. For anyone else, you go to a specific TV model's page, and there is a tab called "Settings."
35.
by pstorm 3y ago
These are tame compared to some of the stuff I have been tasked with at a previous company. I don't want to go into specifics really, but I can tell you that it sort of became normal. Should we test out defaulting the newsletter checkb
36.
by pstorm 3y ago
Couldn't you just compare the similarity of the embeddings? I imagine that would work in the vast majority of cases and save a lot of LLM calls.
37.
by pstorm 3y ago
I tried it out for fun and it was surprisingly insightful. I can't see the prompt you used, but I appreciate the subtly fun personality as well.
38.
by pstorm 3y ago
Paste it into ChatGPT and try it out. I didn't quite understand it until I did that and it's pretty cool.
39.
by pstorm 3y ago
OpenAI has their own version: https://platform.openai.com/playground
40.
by pstorm 3y ago
Eh, for some people the sky is falling. For instance, the original hacker was specifically offering profiles of Ashkenazi Jew, which included full name and location information. I understand how that could be scary in the hands of the wrong
41.
by pstorm 3y ago
You are absolutely right. I have a built a handful of complex interconnected LLM calls, and the thing I am dying for is a simple way to inspect what is happening at each step. For instance, one chain has 5+ steps where data is fetched, tran
42.
by pstorm 3y ago
The idea of the NPCs being autonomous and having all the capabilities of human players is really cool. It's similar to the few simulations that have popped up, but with humans and NPCs. I'll be following along!
43.
by pstorm 3y ago
Running the curl below, I see it as available from the API: curl https://api.openai.com/v1/models/gpt-3.5-turbo-instruct -H "Authorization: Bearer <YOUR_TOKEN>"
44.
by pstorm 3y ago
It's an interesting idea that you might be able to make some money off. Getting anyone to spend any money on your product is difficult - I would not consider the idea validated, but you know at least a few people have that need. Now yo
45.
by pstorm 3y ago
Ah I see! So, the large/sliding window chunks act as a pre-filter for the medium chunks. That makes a lot of sense. I appreciate the response
46.
by pstorm 3y ago
I'm impressed by your chunking and retrieval strategies. I think this aspect is often overly simplistic. One aspect I don't quite understand is why you filter by the sliding window chunks vs just using the medium chunks? If I unde
47.
by pstorm 3y ago
The higher on the screen you play, the more velocity!
48.
by pstorm 3y ago
Here is a direct link to the github.io page: https://jonfranco224.github.io/not-my-cows/
49.
by pstorm 3y ago
I have only read about Worldcoin from comments on Hackernews so I was surprised by such a balanced take on it from Vitalik. I'm not necessarily in favor of it now, but it doesn't seem quite as evil as I had previously believed. I&
50.
by pstorm 3y ago
Found it with google: https://github.com/ruairidhflint/days-left
51.
by pstorm 3y ago
I love this. Is it open source? I would love to create my own with my milestones.
52.
by pstorm 3y ago
Zero shot implies that it was given no direct examples [0] So, in this case, it wasn't given any examples of the exact voice in combination with text, it is just using the prompt voice + a prompt text to generate new audio. [0] https:
53.
by pstorm 3y ago
Have you considered adding an autocomplete? Maybe add in three most likely completions to your word and have three separate signals to select each respectively? Maybe that's cheating, but that could up your words per minute drastically
54.
by pstorm 4y ago
I think there is also an aspect of willful disregard. This technology may change a lot, and it may be easier to dismiss that idea rather than process it.
55.
by pstorm 4y ago
They do, the catch is that 250k of equity has a high chance of ending up as $0
56.
by pstorm 4y ago
I'm curious, how did you figure this out? Do you search texts of random HN comments? Did you remember that comment? I see these posts on here sometimes, and just don't understand how the commenters so consistently find these types
57.
by pstorm 4y ago
In your first paragraph, you are describing Hypothetical Document Embeddings (HyDE) [0]. I've tested it out, and in certain cases, it works amazingly well to get more complete answers. [0] https://python.langchain.com/e
58.
by pstorm 4y ago
I came here to say the same thing. It's either that or Parkinson's Law [0], usually expressed as: work expands so as to fill the time available for its completion. I find that for myself it is true, when I have more time, I take m
59.
by pstorm 4y ago
It's intimately tied to the rest my repo, but I'll spend some time tonight and try to pull it out into it's own library.
60.
by pstorm 4y ago
I have implemented a scaled down version of this that just identifies the selectors needed for a scraper suite to use. for my single use case, I was able to optimize it to nearly 100% accuracy. Currently, I am only triggering the GPT portio

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