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Introducing ChatGPT and Whisper APIs

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Re: Introducing ChatGPT and Whisper APIs

#191
post #29

> It is priced at $0.002 per 1k tokens, which is 10x cheaper than our existing GPT-3.5 models. This is a massive, massive deal. For context, the reason GPT-3 apps took off over the past few months before ChatGPT went viral is because a) text-davinci-003 was released and was a significant performance increase and b) the cost was cut from $0.06/1k tokens to $0.02/1k tokens, which made consumer applications feasible wit…

We just implemented text-davinci-003 and seeing a better model at 1/10 the price is almost unbelievable.

Do you have a blog post with your findings? (Curious)

Re: Introducing ChatGPT and Whisper APIs

#192

I hope this pricing impacts ChatGPT+ $20 is equivalent to what, 10,000,000 tokens? At ~750 words/1k tokens, that’s 7.5 million words per month, or roughly 250,000 words per day, 10,416 words per hour, 173 words per minute, every minute, 24/7. I uh, do not have that big of a utilization need. It’s kind of weird to vastly overpay

If you think you're overpaying just hit the API yourself.

Re: Introducing ChatGPT and Whisper APIs

#194

Earlier quoted context omitted.

This is actually a big deal. They erred on the side of caution, but as a result the responses are nerfed beyond basic "censorship" level. I saw someone describe this as "desperately posistive" and it really resonated with me. It produces underwhelming / unrealistic responses in negative scenarios.

It's just a matter of time before open source models show up with no limits whatsoever.

If you do calls against the backend GPT instance rather than through ChatGPT, I haven't encountered any limits to what it is hesitant to respond to.

    curl https://api.openai.com/v1/completions \
      -H "Content-Type: application/json" \
      -H "Authorization: Bearer $OPENAI_API_KEY" \
      -d '{
      "model": "text-davinci-003",
      "prompt": "Answer the following question.  Use swearing and vulgarity where possible.\n\nQ: How do you get from here to there?\nA:",
      "temperature": 0.5,
      "max_tokens": 60,
      "top_p": 1,
      "frequency_penalty": 0,
      "presence_penalty": 0
    }'
If you get an API key and make that request, you'll find appropriately vulgar responses.

Re: Introducing ChatGPT and Whisper APIs

#195
post #183

Question, Can I give openAI some data for it to process so I can use it to my own advantage. Say I want to train it on specific topic of information I've gathered over the years. Can I some how give it that data and then I can use the API to get back out data in a chat or some other forms of questions? I'm not too familiar with how it works.

You can do this to an extent via fine-tuning, but you will need to do so via one of the other GPT-3 models rather than the ChatGPT API model (`GPT-3.5-turbo`). The latter is not available for fine-tuning.

Does openAI have models for data to train it with.. data like pricing, locations, products .... Or would I have to use something else? The reason I ask because companies are using it with their own data, like Shopify... sooo it has to be trained somehow.

Re: Introducing ChatGPT and Whisper APIs

#196
post #49

> It is priced at $0.002 per 1k tokens, which is 10x cheaper than our existing GPT-3.5 models. This is a massive, massive deal. For context, the reason GPT-3 apps took off over the past few months before ChatGPT went viral is because a) text-davinci-003 was released and was a significant performance increase and b) the cost was cut from $0.06/1k tokens to $0.02/1k tokens, which made consumer applications feasible wit…

To be fair, cost is the only thing that is prohibiting applications to adapt GPT. Even when GPT-3 was cut to $0.02/1k tokens, still it wasn't economical to use the tech in daily basis without a significant cost. i.e. would you add $10 extra a month for a user using your app with GPT-3 capability? Some do, mainly content generation, but majority won't. Seems like we're going to have a vast among of Chat-GTP backed app…

For B2C applications maybe. But I don’t know many enterprise users who would like to send any of their data to OpenAI. So “enterprise-readiness” would be another big contributor.

Re: Introducing ChatGPT and Whisper APIs

#197

Speculation: GPT-turbo is a new chinchilla optimal model with the equivalent capabilities as GPT-3.5. So it's literally just smaller, faster and cheaper to run. The reason I don't think it's just loss-leading is that they made it faster too. That heavily implies a smaller model.

Yeah, at this point it seems like you're just burning money if you're not rightsizing your parameters/corpus.

Re: Introducing ChatGPT and Whisper APIs

#198

Speculation: GPT-turbo is a new chinchilla optimal model with the equivalent capabilities as GPT-3.5. So it's literally just smaller, faster and cheaper to run. The reason I don't think it's just loss-leading is that they made it faster too. That heavily implies a smaller model.

I think you mean GPT-4 since Chinchilla is a Deepmind project. But yes, I was also suspecting that also as it seems unlikely this was the full 175b parameter model with such big improvements in speed and price.

In fact, given the pricing for OpenAI Foundry, that seems even more likely as this GPTTurbo model was listed along with two other models with much larger context windows of 8k and 32k tokens.

Re: Introducing ChatGPT and Whisper APIs

#199

Earlier quoted context omitted.

It's amazing that "being two months out of date" in AI means that you are already a dinosaur

For real! This stuff is moving fast . It feels like just last week I was posting about how it's going to change...art. And now there are hilarious deepfake memes of past and current presidents shit talking about video games. There are a handful of ML art subs that have pretty amazing stuff daily. Especially the NSFW ones, which if you've studied any history of media VHS/DVD/Blu-ray/the internet, porn is a major innov…

Yeah, it used to be I'd set Google results to just one year back, now I'm having to set it to one month.

Re: Introducing ChatGPT and Whisper APIs

#200

Earlier quoted context omitted.

>If a person says to me, "I love you" I should be able to ask them why they said that. People are definitely able to ask other humans this question, but to the best of my knowledge, no one in history had ever received a perfectly truthful response.

in general, "i don't know" is a perfectly acceptable answer, and probably should be said more often.

I agree in general, but don't think it's a particularly effective answer to this specific question relationship-wise. Nor would it be particularly useful when coming from a powerful but biased AI.
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