Self-Supervised Prompt Optimization
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papers.ssrn.commultimodal-maestro
đź‘‹ hello
Multimodal-Maestro gives you more control over large multimodal models to get the outputs you want. With more effective prompting tactics, you can get multimodal models to do tasks you didn't know (or think!) were possible. Curious how it works? Try our HF space!
đź‘‹ hello
Multimodal-Maestro gives you more control over large multimodal models to get the outputs you want. With more effective prompting tactics, you can get multimodal models to do tasks you didn't know (or think!) were possible. Curious how it works? Try our HF space!
roboflow • GitHub - roboflow/multimodal-maestro: Effective prompting for Large Multimodal Models like GPT-4 Vision, LLaVA or CogVLM. 🔥
OpenAI self-leaked its Deep Research prompts and it's a goldmine of ideas! Let's analyze this in detail! https://t.co/yin1DrL5HQ
Even when your series of prompts is—to your mind—unrelated, the model uses them to build a theory of you and what you are interested in, which influences subsequent responses in ways subtle or obvious.