The best reason for the API is to enable the benefits of our technology to be broadly distributed and maximize the positive impact on humanity. The team has known exactly what we are building towards for a long time now. There so much space for companies to use this tech and
@officiallogank
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Team Pushing Hard on Model Improvements Concrete Examples
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Send any concrete examples you have, the team is pushing very hard on model
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Code Interpreter Progress: Excitement for Future Improvements
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It’s remarkable how far you can go with code interpreter, I am so exited to see how much it improves over the next year.
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Today’s AI Systems Are the Least Capable They’ll Ever Be
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Reminder: todays AI systems are the least capable they will ever be in our lives. It’s an interesting thing to keep in mind as we all try to navigate the new world.
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Naming AI Tools: From ChatGPT to Advanced Data Analysis
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Naming things is hard, most people will just say “I used ChatGPT to do that”, and someone might ask “how?” You would say “with the new data analysis tool”, the advanced part just gets at the idea that this can likely do more than other tools you have tried.
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ChatGPT 32k Context and Business Self-Serve Features
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This is truly exciting. 32k context in ChatGPT has proved to be immensely helpful for me. Self serve for business is also going to be very useful!
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Customizing ChatGPT for Enterprise Data Integration
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Customizing ChatGPT on companies data is going to be a huge step forward. Excited for this!
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ChatGPT Enterprise: No Training on Submitted Data
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Like with our API, we do not train on data submitted through ChatGPT for Enterprise.
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OpenAI Introduces ChatGPT Enterprise for Business
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Learn more in our blog post: https://
openai.com/blog/introduci
ng-chatgpt-enterprise
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ChatGPT for Enterprise Now Available with GPT-4 Unlimited Access
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Huge news, ChatGPT for Enterprise is now available and features: – Unlimited access to GPT-4 (no usage caps) – Higher-speed performance for GPT-4 (up to 2x faster)
– Unlimited access to advanced data analysis (code interpreter)
– 32k token context windows for 4x longer