Earlier quoted context omitted.
I've never used text-davinci-003 much. Why do you like it so much? What does it offer that the other models don't? What are funs things we can with it until it sunsets on January 4, 2024?
The Chat-GPT models are all pre-prompted and pre-aligned. If you work with davinci-003, it will never say things like, "I am an OpenAI bot and am unable to work with your unethical request" When using davinci the onus is on you to construct prompts (memories) which is fun and powerful. ==== 97% of API usage might be because of ChatGPT's general appeal to the world. But I think they will be losing a part of the hacker…
GPT-4 API General Availability
231–240 of 562 posts
Re: GPT-4 API General Availability
#232Earlier quoted context omitted.
They address that, OpenAI will cover the cost of re-training on the new models, and the old models don't discontinue until next year.
Did they say they would cover the cost of fine-tuning again? I saw them say they would cover the cost of recalculating embeddings, but I didn't see the bit about fine-tuning costs. On fine-tuning: > We will be providing support to users who previously fine-tuned models to make this transition as smooth as possible. On embeddings: > We will cover the financial cost of users re-embedding content with these new models.
Based on the language it sounds like they'll do the same when that launches.
Re: GPT-4 API General Availability
#233Earlier quoted context omitted.
Care to share some links? My lack of GPU is the main blocker for me from playing with local-only options. I have an old laptop with 16GB RAM and no GPU. Can I run these models?
https://github.com/ggerganov/llama.cpp https://huggingface.co/TheBloke There's a LocalLLaMA subreddit, irc channels, and a whole big community around the web working on it on GitHub nd elsewhere. edit: I forgot to directly answer you: yes you can run these models. 16GB of plenty. Different quantizations give you different amounts of smarts and speed. There are tables that tell you how much RAM is needed per which qua…
Re: GPT-4 API General Availability
#234Yikes. They're actually killing off text-davinci-003. RIP to the most capable remaining model and RIP to all text completion style freedom. Now it's censored/aligned chat or instruct models with arbitrary input metaphor limits for everything. gpt3.5-turbo is terrible in comparison. This will end my usage of openai for most things. I doubt my $5-$10 API payments per month will matter. This just lights more of a fire u…
Re: GPT-4 API General Availability
#235Yikes. They're actually killing off text-davinci-003. RIP to the most capable remaining model and RIP to all text completion style freedom. Now it's censored/aligned chat or instruct models with arbitrary input metaphor limits for everything. gpt3.5-turbo is terrible in comparison. This will end my usage of openai for most things. I doubt my $5-$10 API payments per month will matter. This just lights more of a fire u…
Re: GPT-4 API General Availability
#236Earlier quoted context omitted.
The Chat-GPT models are all pre-prompted and pre-aligned. If you work with davinci-003, it will never say things like, "I am an OpenAI bot and am unable to work with your unethical request" When using davinci the onus is on you to construct prompts (memories) which is fun and powerful. ==== 97% of API usage might be because of ChatGPT's general appeal to the world. But I think they will be losing a part of the hacker…
The hacker/builder ethos doesn't matter in the grand scheme of commercialization.
Re: GPT-4 API General Availability
#237Earlier quoted context omitted.
https://github.com/ggerganov/llama.cpp https://huggingface.co/TheBloke There's a LocalLLaMA subreddit, irc channels, and a whole big community around the web working on it on GitHub nd elsewhere. edit: I forgot to directly answer you: yes you can run these models. 16GB of plenty. Different quantizations give you different amounts of smarts and speed. There are tables that tell you how much RAM is needed per which qua…
A reminder that llama isn't legal for the vast majority of use cases. Unless you signed their contract and then you can use it only for research purposes.
Re: GPT-4 API General Availability
#238>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). Once this feature is available later this year, we will give priority access to GPT-3.5 Turbo and GPT-4 fine-tuning to users who previously fine-tuned older models. We acknowledge…
If you don’t own the weights you don’t own anything. This is why open models are so crucial. I don’t understand any business who is building fine tuned models against closed models.
Do you have any recommendations for good open models that businesses could use today?
From what I've seen in the space, I suspect businesses are building fine tuned models against closed models because those are the only viable models to build a business model on top of. The quality of open models isn't competitive.
Re: GPT-4 API General Availability
#239Earlier quoted context omitted.
ChatGPT is definitely more restricted than the API. Example: https://news.ycombinator.com/item?id=36179783
That's disappointing, I thought ChatGPT WAS using the API. I mean what's the point of paying if you don't get similar levels of quality?
One would pay because what they get out of chatGPT provides value, of course. Keep in mind that the users of these 2 products can be (and in fact are) different — chatGPT is a lot friendlier (from a UX perspective) than using the API playground (or using the API itself).
Re: GPT-4 API General Availability
#240Earlier quoted context omitted.
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…
I've done exactly this for another project. I'd recommend grabbing an open source model and fine-tuning on some augmented data in your domain. For example: I grabbed tech blog posts, turned each post into a collection of phonemes, reconstructed the phonemes into words, added filler words, and removed punctuation+capitalization.
And what open LLM you used it with / how successful you've found it?