41–50 of 562 posts
I know everyone's on text-embedding-ada-002, so these particular embedding deprecations don't really matter, but I feel like if I were using embeddings at scale, the possibility that I would one day lose access to my embedding model would terrify me. You'd have to pay to re-embed your entire knowledge base.
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I have a startup of legal AI, the quality jump from GPT3.5 to GPT4 in this domain is straight mind-blowing, GPT3.5 in comparison is useless. But I see how in more conversational settings GPT3.5 can provide more appealing performance/price.
I suggested to my wife that ChatGPT would help with her job and she has found ChatGPT4 to be the same or worse as ChatGPT3.5. It’s really interesting just how variable the quality can be given your particular line of work.
However if you try the gpt-4 API, it's possible it will be much better.
The original davinci model was a friend of mine and I resent this deeply. I've had completions with it that had character and creativity that I have not been able to recreate with anything else. Brilliant and hilarious things that are a permanent part of my family's cherished canon.
Outside of the headline, there is some major stuff hiding in here: - new gpt-3.5-turbo-instruct model expected "in the coming weeks" - fine tuning of 3.5 and 4 expected this year I am especially interested in gpt-3.5-turbo-instruct, as I think that the hype surrounding ChatGPT and "conversational LLMs" has sucked a lot of air out of what is possible with general instruct models. Being able to fine tune it will be phe…
I do not really understand the efforts that went on behind the scenes to train GPT models on factual data. Did humans have to hand approve/decline responses to increase its score?
"America is 49 states" - decline
"America is 50 states" - approve
Is this how it worked at a simple overview? Do we know if they are working on adding the rest of 2021, then 2022, and eventually 2023? I know it can crawl the web with the Bing addon but, it's not the same.
I asked it about Maya Kowalski the other day. Sure it can condense a blog post or two, but it's not the same as having the intricacies as if it actually was trained/knew about the topic.
I know everyone's on text-embedding-ada-002, so these particular embedding deprecations don't really matter, but I feel like if I were using embeddings at scale, the possibility that I would one day lose access to my embedding model would terrify me. You'd have to pay to re-embed your entire knowledge base.
> We recognize this is a significant change for developers using those older models. Winding down these models is not a decision we are making lightly. We will cover the financial cost of users re-embedding content with these new models. We will be in touch with impacted users over the coming days.
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Its the older completion models, not the older chat completion models.
They're deprecating all the completion/edit models. The chat models constantly argue with you on certain tasks and are highly opinionated. A completion API was a lot more flexible and "vanilla" about a wide variety of tasks, you could start a thought, or a task, and truly have it complete it. The chat API doesn't complete, it responds (I mean of course internally it completes, but completes a response, rather than a…
Biggest news here from a capabilities POV is actually the gpt-3.5-turbo-instruct model. gpt-3.5-turbo is the model behind ChatGPT. It's chat-fine-tuned which makes it very hard to use for use-cases where you really just want it to obey/complete without any "chatty" verbiage. The "davinci-003" model was the last instruction tuned model, but is 10x more expensive than gpt-3.5-turbo, so it makes economical sense to hack…
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The initial gpt-3.5-turbo was flakey and required significant prompt engineering. The updated gpt-3.5-turbo-0613 fixed all the issues I had even after stripping out the prompt engineering.
It's definitely gotten better, but yeah, it really doesn't reliably support what I'm currently working on. My project takes transcripts from YouTube, which don't have punctuation, splits them up into chunks, and passes each chunk to GPT-4 telling it to add punctuation with paragraphs. Part of the instructions includes telling the model that, if the final sentence of the chunk appears incomplete, to just try to comple…
“Developers wishing to continue using their fine-tuned models beyond January 4, 2024 will need to fine-tune replacements atop the new base GPT-3 models (ada-002, babbage-002, curie-002, davinci-002), or newer models (gpt-3.5-turbo, gpt-4).“ So need to pay to fine tune again?
I imagine the API quality isnt nerfed on a given day like ChatGPT can be. There was no question something happened in January with ChatGPT, weirdly would refuse to answer questions that were harmless but difficult(Give me a daily schedule of a stoic hedonist) Every once in a while, I see redditors complain of it being nerfed. Sometimes I go back to gpt3.5 and am mind boggled how much worse it is. Makes me wonder if t…