#OpenAI's open source models and tools
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Hi @random wren. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:
Hmm, I don't know enough to give you a confident answer yet. The provided extracts do not contain specific information on how to use OpenAI's GPT-2 models. However, OpenAI has extensive documentation and resources that can guide you on how to use their models. I recommend checking out their official documentation for more detailed instructions.
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@random wren kapa.ai is still learning and improving, please let us know how it did by reacting below
@pseudo solar is GPT-2 publicly available?
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I'm sorry, but the provided extracts do not contain specific information about the availability of GPT-2. However, OpenAI has previously made GPT-2 publicly available. For the most accurate and up-to-date information, please refer to OpenAI's official resources or their GitHub repository.
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@random wren kapa.ai is still learning and improving, please let us know how it did by reacting below
(I only see blog posts on this, such as https://openai.com/research/gpt-2-1-5b-release - I do not expect there to be info on this in the documentation or cookbook, but I'd hope it could read from blog posts)
honestly it's fair enough to not know this 
As the final model release of GPT-2’s staged release, we’re releasing the largest version (1.5B parameters) of GPT-2 along with code and model weights to facilitate detection of outputs of GPT-2 models. While there have been larger language models released since August, we’ve continued with our original staged release plan in order to provide th...
Hey @pseudo solar - does OpenAI have a Node.js / Typescript library and is it open source?
Let me check the knowledge base for you. One moment! :books:
Yes, OpenAI does have a Node.js library which is open source. The library is called openai-node and it's available on GitHub. It supports TypeScript as well. Here are some community libraries for Node.js that have been developed:
- openai-api (https://www.npmjs.com/package/openai-api) by Njerschow (https://github.com/Njerschow)
- openai-api-node (https://www.npmjs.com/package/openai-api-node) by erlapso (https://github.com/erlapso)
- gpt-x (https://www.npmjs.com/package/gpt-x) by ceifa (https://github.com/ceifa)
- gpt3 (https://www.npmjs.com/package/gpt3) by poteat (https://github.com/poteat)
- gpts (https://www.npmjs.com/package/gpts) by thencc (https://github.com/thencc)
- @dalenguyen/openai (https://www.npmjs.com/package/@dalenguyen/openai) by dalenguyen (https://github.com/dalenguyen)
- tectalic/openai (https://github.com/tectalichq/public-openai-client-js) by tectalic (https://tectalic.com/)
You can find more information about the library and its usage in the official documentation (https://platform.openai.com/docs/libraries) and on the GitHub repository (https://github.com/openai/openai-node).
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@random wren kapa.ai is still learning and improving, please let us know how it did by reacting below
@random wren good point! We've actually intentionally left out the blog posts since they often add a lot of noise (esp. with older articles). But curious if you think they could be very helpful here?
Let me check the knowledge base for you. One moment! :books:
OpenAI's DevDay was an event where several new developments and updates were announced. Here are some key highlights based on the provided extracts:
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New Models: OpenAI announced the preview release of GPT-4 Turbo with a 128k context window and an updated GPT-3.5 Turbo with a 16k context window. These models come with improved instruction following, JSON mode, more reproducible outputs, and parallel function calling. You can learn more about these models here (https://platform.openai.com/docs/models) (source (https://platform.openai.com/docs/models)).
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DevDay Discussion: The DevDay event also included a forum for attendees to ask questions, share insights, discuss updates, and make connections with other tech enthusiasts. A forum member was live at DevDay sharing updates and the forum team assisted in passing questions to them (source (https://community.openai.com/t/472693)).
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SDK Update: The SDK was updated to include the functionality announced during the DevDay keynote (source (https://github.com/openai/openai-python/issues/670)).
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Access to New Versions: The new models and developer products announced at DevDay were made available after the event (source (https://community.openai.com/t/475195)).
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Community Expectations: There were discussions and speculations among the community members about the possible announcements and releases at DevDay. Some of the expectations included the release of GPT-4 32k API, DallE3 API, and GPT-4's vision API capabilities (source (https://community.openai.com/t/472693)).
Please note that this is a summary based on the provided extracts and may not cover all the announcements and discussions that took place during OpenAI's DevDay. For more detailed information, you may want to check out the official OpenAI blog or forum.
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@random wren kapa.ai is still learning and improving, please let us know how it did by reacting below
I find it interesting that the blog posts are kept out for noise while community posts are used - is there any sort of filtering for those?
Yep @random wren ! We only include community posts that have been marked resolved with a ✅ and filter for posts from last 6 months only to ensure recency.
Seems perfectly reasonable to keep the blog posts out then!
couldn't blog posts be filtered out the same way? 
or would that ramp up the computing power required too much? cuz you could index all the titles, urls and their blog postdates and then just sort by newest date. Then re-index to filter out updates about the same product in the past 6 months and grab the newest. 
p.s. would be a onetime process i'd imagine, after that it can be updated by OAI pushing their announcements/blogposts to an endpoint you specify e.g. (or you scraping their page every week orso)
hmm theres a old official post mentioning gpt 2 and its repo on github? Kapa missed on that