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
GENERATIVE AI
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DALL-E 3 Settings Comparison: Vivid vs Natural Modes
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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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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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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 -
LLM Size vs Genome: Knowledge Encoded vs Learned
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A small LLM is 14GB.
Your entire genome is 800MB.
Most of it encodes basic biological functions.
A small part encodes brain circuitry.
The difference between your genome and a chimp's genome is 8MB.
Not enough to encode the knowledge you mention.
Much of that must be learned. -
Master LLMs: Top Strategies to Evaluate
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Find more details in the newsletter iteration: https://
louisbouchard.substack.com/p/master-llms-
top-strategies-to-evaluate
… Subscribe to the newsletter for more weekly AI insights like these! -
Perplexity Metric Limitations in AI Model Evaluation
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BUT, Relying solely on Perplexity metric can lead to models memorizing vs. understanding data. It also fails in complex tasks like summarizing or script writing.
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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…
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Mercedes and BMW Use Generative AI for Factory Digital Twins
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Generative #AI is changing the way @MercedesBenz and @BMWGroup design their plants and processes. Read how they're using AI and #OpenUSD within @nvidiaomniverse to create factory digital twins and simulate production. https://
nvda.ws/3MwkkqT