We already have a push system called Check 21. You scan an image of a check and it will send the money instantly to the bank instead of through the Fed. It created after 9/11, as money couldn't move when the Fed was frozen.
I do admit, I am a pretty big fan boy of pgvector (and postgres). I think it's a much better solution than some of these other vector databases that are available. I would like to see it gain more popularity in the AI space.
I've been watching this github issue for awhile and almost didn't post this.
"As we witness a mass migration from Twitter to Threads"
Threads launched yesterday, way too early to state that as fact.
Agreed, though they did just get 50 million users. That is competing with openai adoption speeds!
GPT3.5 is 4k tokens and has a 16k version
GP4 is 8k and has a 32k version.
You are correct that this needs to account for both input and output. I suspect that when you feed chat gpt longer it prompts, it may try to use the 16k / 32k models when it makes sense.
Yes I'd like the details on this. My experience has been the opposite of you prompt it correctly, or it has the algorithm or data structure trained in its model already.
I was able to use a json-schema shard to streamline the generation of the JSON. I think the implementation is more elegant than what I've seen in other openai libraries. I'm really excited about functions and their potential! What has been your experience with them?
He is attempting it! I've been following his journey moving his apps out of the cloud and I just say it, I want to try some of his deployment tooling he's making as a result.
You should check out Andrew Huberman's videos about sleep on YouTube.
I found that strategies to get my core body temperature down towards the evening, combined with morning light exposure and exercising daily have made a huge difference for me. I'm tired at night and just want to go to sleep. I have a lot more tips, but most of it you can get from Huberman.
Have you tried porting the problem into postgres? Not all big data problems can be solved this way but I was surprised what a postgres database could do with 40 million rows of data.