321–330 of 723 posts
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I guess your data is the catch.
We don't store or train on your data. You can see more details on our privacy policy here https://docs.double.bot/legal/privacy
Would be great to have an FAQ for this type of common question
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We don't store or train on your data. You can see more details on our privacy policy here https://docs.double.bot/legal/privacy
Interesting - I had this exact question and tried the search on the website to find the answer with no result :D Would be great to have an FAQ for this type of common question
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Satya Nadella during the OpenAI leadership fiasco: “We have all of the rights to continue the innovation, not just to serve the product, but we can, you know, go and just do what we were doing in partnership ourselves. And so we have the people, we have the compute, we have the data, we have everything.” Doesn’t sound like a startup-investor relationship to me!
Sure, but that's just saying that Microsoft as investor has some rights to the underlying tech. There are limits to this though, which we may fairly soon be nearing. I believe the agreement says that Microsoft's rights to the tech (model + weights? training data? -- not sure how specific it is) end once AGI is achieved, however that is evaluated. But again, this is not to say that OpenAI is "Microsoft in a trenchcoat…
Another naming disaster! Opus is better than sonnet? And sonnet is better than haiku? Perhaps this makes sense to people familiar with sonnets and haikus and opus....es? Nonsensical to me! I know everyone loves to hate on Google, but at least pro and ultra have a sort of sense of level of sophistication.
Another naming disaster! Opus is better than sonnet? And sonnet is better than haiku? Perhaps this makes sense to people familiar with sonnets and haikus and opus....es? Nonsensical to me! I know everyone loves to hate on Google, but at least pro and ultra have a sort of sense of level of sophistication.
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More than pretraining data, I think the advantage was ChatGPT and how quickly it grew. Remember it was 3.5, and within a month or two, it generated so many actual q&a pairs with rating, feedback, and production level data of how a model will be used by actual users. Those queries and subsequent RLHF + generating better answers for the questions meant the model would have been improved a lot at the SFT stage. Think th…
My understanding is that GPT-4 had been almost fully trained before ChatGPT was released - they spent around six months testing GPT-4 before making it available to the public, ChatGPT came out 31st November 2022, GPT-4 came out March 14th 2023. But maybe that was still enough time for them to instruction tune it based on ChatGPT feedback, or at least to focus more of their fine tuning iteration in the areas they lear…
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Hi, CISO of Anthropic here. Thank you for the feedback! If you can share any details about the image, please share in a private message. No LLM has had an emergent calculator yet.
Hey Jason, checked your HN bio and I don't see a contact. Found you on twitter but it seems I'm unable to DM you. Went ahead and uploaded the image here: https://imgur.com/pJlzk6z
Another naming disaster! Opus is better than sonnet? And sonnet is better than haiku? Perhaps this makes sense to people familiar with sonnets and haikus and opus....es? Nonsensical to me! I know everyone loves to hate on Google, but at least pro and ultra have a sort of sense of level of sophistication.
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That is a brilliant hack! Thanks for sharing. Any chance you could post a screenshot of the Automator workflow somewhere - I'm having trouble figuring out how to reproduce (my effort so far is here: https://gist.github.com/simonw/d3c07969a522226067b8fe099007f... )
I added some notes to the gist.