openai-cookbook

Their showcase examples[0] link to GitHub but the links 404. Like this one for the Slack agent: https://github.com/OpenAI-Early-Access/agents-api-python-pre... Guessing this an early release not quite ready for the public? Interesting that there's a 'OpenAI-Early-Access' GitHub user, though of course with no public repos. Presumably when its actually public they'll move the example agent repos to another GitHub user. [0] https://developers.openai.com/showcase/agents-api-slack-bot edit: Maybe someone from OAI saw my comment because the links are now fixed! And they point to a public repo under the openai org: https://github.com/openai/openai-cookbook/tree/main/examples...

Anthropic started their in August 2023 https://github.com/anthropics/claude-cookbooks/commit/2b3f4a... OpenAI's started in June 2022 https://github.com/openai/openai-cookbook/commit/535f545be7e...

I just got a much better version using this command instead, which uses the maximum image size according to https://github.com/openai/openai-cookbook/blob/main/examples... OPENAI_API_KEY="$(llm keys get openai)" \ uv run 'https://raw.githubusercontent.com/simonw/tools/refs/heads/main/python/openai_image.py' \ -m gpt-image-2 \ "Do a where's Waldo style image but it's where is the raccoon holding a ham radio" \ --quality high --size 3840x2160 https://gist.github.com/simonw/88eecc65698a725d8a9c1c918478a... - I found the raccoon! I think that image cost 40 cents.

OpenAI is retiring GPT‑4o. For many, this may seem like a standard product update. But for researchers working in symbolic cognition, AI philosophy, and epistemic continuity, GPT‑4o is uniquely irreplaceable. Later models may be faster, but they’ve lost its philosophical fluency and long‑arc coherence. I've written a public letter on why this matters—not just technically, but civilizationally. Would welcome thoughtful engagement: https://github.com/openai/openai-cookbook/issues/2426

Anyone who has recently worked on embedding model finetuning, any useful tools you'd recommend (both for dataset curation and actual finetuning)? Any models you'd recommend as especially good for finetuning? I'm interested in both full model finetunes, and downstream matrix optimization as done in [1]. [1] https://github.com/openai/openai-cookbook/blob/main/examples...

Open AI cookbook https://github.com/openai/openai-cookbook

Sam Altman wrote in February that GPT-4.5 would be "our last non-chain-of-thought model" [1], but GPT-4.1 also does not have internal chain-of-thought [2]. It seems like OpenAI keeps changing its plans. Deprecating GPT-4.5 less than 2 months after introducing it also seems unlikely to be the original plan. Changing plans is necessarily a bad thing, but I wonder why. Did they not expect this model to turn out as well as it did? [1] https://x.com/sama/status/1889755723078443244 [2] https://github.com/openai/openai-cookbook/blob/6a47d53c967a0...

Eh, let's nip this in the bud: we could end up in a "it feels like...", coupled to free association, cycle. :) More substantively, we can check our vibe. OpenAI is just as active as it ever was w/notebooks. To an almost absurd degree. 5-10 commits a week. https://github.com/openai/openai-cookbook/activity

Yep - one good option is to use Wikipedia pages from the recent Olympics, which GPT has no knowledge of: https://github.com/openai/openai-cookbook/blob/457f4310700f9...

The official openai-cookbook (https://github.com/openai/openai-cookbook) used to have an explicit, but buried, call out that instruction-following models like `text-davinci-003` were "Less diverse; less creative; sometimes harder to steer tone, style, etc." as opposed to base completion models like `davinci`. It stood out to me because it seemed to be an internal admission that this training narrowed the potential of the models. Required a bit of digging but I found the old file in the history, the relevant text is in the comparison table at the bottom: https://github.com/openai/openai-cookbook/blob/c651bfdda64ac...