Yes this will come in the GPT store they announced.
TOOLS
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DALL-E 3 Image Styles: Natural vs Vivid Quality Comparison
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In dalle3, the real people live in the natural style. 1. vivid hd
2. vivid standard
3. natural hd
4. natural standard -
DALL-E 3 Settings Comparison: Vivid vs Natural Modes
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I can't seem to keep prompt/seed consistent, but here's some comparisons of the 4 main dalle3 settings: 1. vivid standard
2. vivid hd
3. natural standard
4. natural hd -
ChatGPT Plugins Bug Fix Update OpenAI
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FYI, plugins in ChatGPT are sticking around for the time being. There’s a bug right now causing them not to show up, apologies for the worry, the teams working on a fix!
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Plugins Temporarily Hidden Due to Bug Fix
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Plugins are hidden due to a bug right now, stay tuned for a fix!
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GPT Plugins Migrate to Actions Within Custom GPTs
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Plugins aren’t showing right now due to a bug. Long term we hope that GPT’s will be the new home for plugins and you can reuse an existing plugin as an Action in your GPT.
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GPT Plugins Bug Under Investigation by Team
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This is a bug, apologies, flagged to the team and they are investigating. Plugins are indeed sticking around for the time being but we do hope GPT’s will be the home for all plugin users and builders.
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Image Generation Style Parameters: Vivid vs Natural
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There's one further param listed on the endpoint docs: – style, either "vivid" or "natural"
– vivid causes the model to lean towards generating hyper-real and dramatic images
– natural causes the model to produce more natural, less hyper-real looking images -
Evaluating Custom LLMs vs Closed-Source Models Performance
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Closed-source models like GPT-4 or Claude yield good performance due to the powerful teams and resources behind them. But for specialized apps, consider shifting to your own LLM and comparing results. Evaluate an LLM's effectivity through the Perplexity Evaluation Metric.
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Choosing the Right LLM for Your Specific Use Case
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Exploring Large Language Models (#LLMs) like closed-source GPT-4, Claude, open-source Llama, Falcon, or your own fine-tuned model can be daunting. Choosing correctly, considering your specific use case is crucial…