/14 more proof that the GPT-4 Turbo is Supafaaasthttps://t.co/SGVVxP0suB
— Linus ✦ Ekenstam (@LinusEkenstam) 7 novembre 2023
/14 more proof that the GPT-4 Turbo is Supafaaast
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/14 more proof that the GPT-4 Turbo is Supafaaasthttps://t.co/SGVVxP0suB
— Linus ✦ Ekenstam (@LinusEkenstam) 7 novembre 2023
/14 more proof that the GPT-4 Turbo is Supafaaast
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Yeah, the next weeks will be bubbling, and given the March 2023 release of GPT4 I wonder if we can start to expect annual releases of the model or if we will slow down now. At this point we’ve had 6mo cycles on the models. 3 > 3.5 turbo > 4 > 4 turbo
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Docs shown above: https://
platform.openai.com/docs/guides/te
xt-generation/json-mode
… OpenAI cookbook also has a new tutorial notebook on deterministic output: https://
cookbook.openai.com/examples/deter
ministic_outputs_with_the_seed_parameter
…

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Two new GPT features you might have missed today — ChatCompletions API now supports:
– “JSON mode” with constrained generation (guaranteed to parse)
– Deterministic output using a seed for reproducibility
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Actually, looking closer, most of them lost quite a bit on the MMLU training set. Some recovered some of that in later training.
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There's similar "upside down" results in GPT-Neo too, e.g for CoQA. These very small models don't have much capacity, and there's a *lot* of MMLU data, so it doesn't seem that odd that they would lose other capabilities.
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11/ embed entire papers in ChatGPThttps://t.co/2YnNDpbKpk
— Linus ✦ Ekenstam (@LinusEkenstam) 7 novembre 2023
11/ embed entire papers in ChatGPT
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What do you use ChatGPT/Claude/Bing for? MOST IMPORTANTLY: I'd love to know how you use these new tools for productivity or for your work in general? And which one you are using! #ai #chatgpt #claude #bing #gpt #openai #anthropic

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I tried something with the new @OpenAI Whisper large model that I didn't expect to work — I switched from English to Chinese in the middle. I'm impressed!
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We must be in very different bubbles — I feel like this model is all anyone is talking about at the moment! 😀